With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by (...) training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities further improve response times, reducing the risk of potential damage. The study also incorporates visualization tools to provide interpretable insights into model decisions, enhancing transparency for cybersecurity practitioners. Concluding with a discussion on the challenges and future prospects, this research paves the way for scalable, AI-driven solutions to combat evolving cyber threats. (shrink)

With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by (...) training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities further improve response times, reducing the risk of potential damage. (shrink)

With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by (...) training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities further improve response times, reducing the risk of potential damage. The study also incorporates visualization tools to provide interpretable insights into model decisions, enhancing transparency for cybersecurity practitioners. Concluding with a discussion on the challenges and future prospects, this research paves the way for scalable, AI-driven solutions to combat evolving cyber threats. (shrink)

With the proliferation of sophisticated cyber threats, traditional malware detection techniques are becoming inadequate to ensure robust cybersecurity. This study explores the integration of deep learning (DL) techniques into malware detection systems to enhance their accuracy, scalability, and adaptability. By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by (...) training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities further improve response times, reducing the risk of potential damage. (shrink)

By leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, this research presents an intelligent malware detection framework capable of identifying both known and zero-day threats. The methodology involves feature extraction from static, dynamic, and hybrid malware datasets, followed by training DL models to classify malicious and benign software with high precision. A robust experimental setup evaluates the framework using benchmark malware datasets, yielding a 96% detection accuracy and demonstrating resilience against adversarial attacks. Real-time analysis capabilities (...) further improve response times, reducing the risk of potential damage. The study also incorporates visualization tools to provide interpretable insights into model decisions, enhancing transparency for cybersecurity practitioners. Concluding with a discussion on the challenges and future prospects, this research paves the way for scalable, AI-driven solutions to combat evolving cyber threats. (shrink)

Existing approaches to campaign ethics fail to adequately account for the “arms races” incited by competitive incentives in the absence of effective sanctions for destructive behaviors. By recommending scrupulous devotion to unenforceable norms of honesty, these approaches require ethical candidates either to quit or lose. To better understand the complex dilemmas faced by candidates, therefore, we turn first to the tradition of “adversarial ethics,” which aims to enable ethical participants to compete while preventing the most destructive excesses of competition. (...) As we demonstrate, however, elections present even more difficult challenges than other adversarial contexts, because no centralized regulation is available to halt potential arms races. Turning next to recent scholarship on populism and partisanship, we articulate an alternative framework for campaign ethics, which allows candidates greater room to maneuver in their appeals to democratic populations while nevertheless requiring adherence to norms of social and political pluralism. (shrink)

Why did R.G. Collingwood come to reject the adversarial style of philosophical discussion so popular among his Oxford peers? The main aim of this paper is to explain that Collingwood came to reject his colleagues’ specific style of philosophical dialogue on methodological grounds, and to show how the argument against adversarial philosophical discussion is integrated with Collingwood’s overall criticism of realist philosophy. His argument exploits a connection between method and practice that should be taken seriously even today.

In this research, we focus on the usage of adversarial sampling to test for the fairness in the prediction of deep neural network model across different classes of image in a given dataset. While several framework had been proposed to ensure robustness of machine learning model against adversarial attack, some of which includes adversarial training algorithm. There is still the pitfall that adversarial training algorithm tends to cause disparity in accuracy and robustness among different group. Our (...) research is aimed at using adversarial sampling to test for fairness in the prediction of deep neural network model across different classes or categories of image in a given dataset. We successfully demonstrated a new method of ensuring fairness across various group of input in deep neural network classifier. We trained our neural network model on the original image, and without training our model on the perturbed or attacked image. When we feed the adversarial samplings to our model, it was able to predict the original category/ class of the image the adversarial sample belongs to. We also introduced and used the separation of concern concept from software engineering whereby there is an additional standalone filter layer that filters perturbed image by heavily removing the noise or attack before automatically passing it to the network for classification, we were able to have accuracy of 93.3%. Cifar-10 dataset have ten categories of dataset, and so, in order to account for fairness, we applied our hypothesis across each categories of dataset and were able to get a consistent result and accuracy. (shrink)

What is the relevance of ideals for determining virtuous argumentative practices? According to Bailin and Battersby (2016), the telos of argumentation is to improve our cognitive systems, and adversariality plays no role in ideally virtuous argumentation. Stevens and Cohen (2019) grant that ideal argumentation is collaborative, but stress that imperfect agents like us should not aim at approximating the ideal of argumentation. Accordingly, it can be virtuous, for imperfect arguers like us, to act as adversaries. Many questions are left unanswered (...) by both camps. First, how do we conceptualize an ideal and its approximation? Second, how can we determine what is the ideal of argumentation? Third, can we extend Stevens and Cohen’s anti-approximation argument beyond virtue theory? In order to respond to these questions, this paper develops a second-best perspective on ideal argumentation. The Theory of the Second Best is a formal contribution to the field of utility (or welfare) optimization. Its main conclusion is that, in non-ideal circumstances, approximating ideals might be suboptimal. (shrink)

Should we regret the fact that we are often more emotionally resilient in response to the deaths of our loved ones than we might expect -- that the suffering associated with grief often dissipates more quickly and more fully than we anticipate? Dan Moller ("Love and Death") argues that we should, because this resilience epistemically severs us from our loved ones and thereby "deprives us of insight into our own condition." I argue that Moller's conclusion is correct despite resting (...) on a mistaken picture of the nature and significance of grief. Unlike Moller, I contend that grief is a composite emotional process, rather than a single mental state; that grief is a species of emotional attention rather than perception; and that grief is a form of activity directed at placing our relationships with the deceased on new terms. It is precisely because grief has these three features that it facilitates the scrutiny of our practical identities and thus fosters self-knowledge and self-understanding. (shrink)

In this paper I provide support for the view that at least some forms of adversariality in argumentation are legitimate. The support comes from Aristotle’s theory of illegitimate adversarial argumentation in dialectical contexts: his theory of eristic in his work On Sophistical Refutations. Here Aristotle develops non-epistemic standards for evaluating the legitimacy of dialectical procedures, standards which I propose can be understood in terms of the pragmatic notion of context as common ground. Put briefly, Aristotle makes the answerer’s meaning (...) in giving assent in dialectical contexts the basis for further moves in the game of dialectic. Moves which subvert the answerer’s meaning or do not solicit the answerer’s consent are marked as eristic, i.e. adversarial in a problematic sense. I conclude with remarks on what Aristotle’s theory may teach us about how semantic features relate to the normative evaluation of argumentation. (shrink)

Text-guided image generation models can be prompted to generate images using nonce words adversarially designed to robustly evoke specific visual concepts. Two approaches for such generation are introduced: macaronic prompting, which involves designing cryptic hybrid words by concatenating subword units from different languages; and evocative prompting, which involves designing nonce words whose broad morphological features are similar enough to that of existing words to trigger robust visual associations. The two methods can also be combined to generate images associated with more (...) specific visual concepts. The implications of these techniques for the circumvention of existing approaches to content moderation, and particularly the generation of offensive or harmful images, are discussed. (shrink)

In this short essay, we sketch a theory of faith that features resilience in the face of challenges to relying on those in whom you have faith. We argue that it handles a variety of both religious and secular faith-data, e.g., the value of faith in relationships of mutual faith and faithfulness, how the Christian and Hebrew scriptures portray pístis and ʾĕmûnāh, and the character of faith as it is often expressed in popular secular venues.

The primary aim of this paper is to argue that the value of understanding derives in part from a kind of subjective stability of belief that we call epistemic resilience. We think that this feature of understanding has been overlooked by recent work, and we think it’s especially important to the value of understanding for social cognitive agents such as us. We approach the concept of epistemic resilience via the idea of the experience of epistemic ownership and argue (...) that the former concept has Platonic pedigree. Contrary to longstanding exegetical tradition, we think that Plato solves the “Meno problem” with an appeal to the epistemic resilience characteristic of understanding, not the well-groundedness characteristic of canonical cases of propositional knowledge. Finally, we apply our discussion to the case of science outreach and the challenge of global warming skepticism and conclude with directions for future research. (shrink)

Business resilience is the ability to quickly recover from difficulties and continue operating by applying innovative strategies. The article aims to document the resilience level of micro, small, and medium enterprises (MSMEs) in the Pacific towns of Southern Leyte, Philippines, and capture its causal determinants amid the health crisis using descriptive correlational research design. Using a research-made questionnaire, cross-sectional and primary data were collected from a random sample of MSMEs and were summarized using statistical measures. The significant determinants (...) of the resilience of MSMEs were determined using the Chi-square test for independence via cross-tabulation of categorical data. Results depicted that, on average, MSMEs during the pandemic are "resilient", particularly in their situational awareness, keystone vulnerabilities, and adaptive capacity as they combat the disruption of the health crisis. The Chi-square test reveals that age, civil status, business job position of the MSMEs' personnel, and the estimated monthly income of the enterprise are the highly significant factors that affect the resilience of MSMEs during the health crisis. In particular, younger age, single status, and owner of the enterprise are more active and creative in digital business technology, which increases their resilience in response to challenges brought about by the pandemic. Moreover, enterprises with lower incomes do adopt innovative business strategies that improve economic resilience and profit. Furthermore, the study suggests that enterprises must consider strategic plans and goals to enhance their capability in risk management as they will face future crises. (shrink)

Against the backdrop of the English reception of Locke’s Essay, stands a little-known philosophical dispute between two seventeenth-century women writers: Mary Astell (1666-1731) and Damaris Cudworth Masham (1659-1708). On the basis of their brief but heated exchange, Astell and Masham are typically regarded as philosophical adversaries: Astell a disciple of the occasionalist John Norris, and Masham a devout Lockean. In this paper, I argue that although there are many respects in which Astell and Masham are radically opposed, the two women (...) also have a surprising amount in common. Rather than interpret their ideas solely in relation to the ‘canonical’ philosophies of the time – Lockean empiricism and Malebranchean occasionalism – I examine the ways in which Astell and Masham are influenced by the metaphysical theories of the Cambridge Platonists, Ralph Cudworth and Henry More. On this basis, I argue that a remarkably similar theological approach underlies the metaphysical and feminist arguments of Astell and Masham. (shrink)

In this paper, we engage with the question of the normative content of the resilience concept. The issues are approached in two consecutive steps. First, we proceed from a narrow construal of the resilience concept – as the ability of a system to absorb a disturbance – and show that under an analysis of normative concepts as evaluative concepts resilience comes out as descriptive. In the second part of the paper, we argue that (1) for systems of (...) interest (primarily social systems or system with a social component) we seem to have options with respect to how they are described and (2) that this matters for what is to be taken as a sign of resilience as opposed to a sign of the lack of resilience for such systems. We discuss the implications of this for how the concept should be applied in practice and suggest that users of the resilience concept face a choice between versions of the concept that are either ontologically or normatively charged. (shrink)

While resilience is a major concept in development, climate adaptation, and related domains, many doubts remain about how to interpret this term, its relationship with closely overlapping terms, or its normativity. One major view is that, while resilience originally was a descriptive concept denoting some adaptive property of ecosystems, subsequent applications to social contexts distorted its meaning and purpose by framing it as a transformative and normative quality. This article advances an alternative philosophical account based on the scrutiny (...) of C.S. Holling’s original work on resilience. We show that resilience had a central role among Holling’s proposals for reforming environmental science and management, and that Holling framed resilience as an ecosystem’s capacity of absorbing change and exploiting it for adapting or evolving, but also as the social ability of maintaining and opportunistically exploiting that natural capacity. Resilience therefore appears as a transformative social-ecological property that is normative in three ways: as an intrinsic ecological value, as a virtue of organizations or management styles, and as a virtuous understanding of human–nature relations. This interpretation accounts for the practical relevance of resilience, clarifies the relations between resilience and related terms, and is a firm ground for further normative work on resilience. (shrink)

-/- [Posted here is article as originally published (same title) in ALSA Forum VI (1982) pp. 1-17 plus rebuttal by Thomas D. Barton, pp. 18-22].

In adversarial machine learning, attackers add carefully crafted perturbations to input, where the perturbations are almost imperceptible to humans, but can cause models to make wrong predictions. In this paper, we did comprehensive review of some of the most recent research, advancement and discoveries on adversarial attack, adversarial sampling generation, the potency or effectiveness of each of the existing attack methods, we also did comprehensive review on some of the most recent research, advancement and discoveries on (...) class='Hi'>adversarial defense strategies, the effectiveness of each defense methods, and finally we did comparison on effectiveness and potency of different adversarial attack and defense methods. We came to conclusion that adversarial attack will mainly be blackbox for the foreseeable future since attacker has limited or no knowledge of gradient use for NN model, we also concluded that as dataset becomes more complex, so will be increase in demand for scalable adversarial defense strategy to mitigate or combat attack, and we strongly recommended that any neural network model with or without defense strategy should regularly be revisited, with the source code continuously updated at regular interval to check for any vulnerability against newer attack. (shrink)

In this paper, first we discuss the conditions under which a Large Language Model (LLM) can emulate a superior LLM and potentially trigger an intelligence explosion, along with the characteristics and dangers of the resulting superintelligence. We also explore ``superalignment,'' the process of safely keeping an intelligence explosion under human control. We discuss the goals that should be set for the initial LLM that might trigger the intelligence explosion and the Self-Adversarial Surveillance (SAS) system, which involves having the LLM (...) evaluate its own output with different prompts to scalably respond to unexpected outputs that may arise with a certain probability. We aim to construct a theoretical framework for achieving safe superalignment based on specific experiments in the field of computer science using LLMs. However, since it also deals with the metaphysical aspect assuming superintelligence being achievable; that is, an intelligence explosion can occur, we present it as an interdisciplinary study between information science and philosophy. (shrink)

Community resilience, a system’s ability to maintain its essential functions despite disturbance, is a cornerstone of public health preparedness. However, as currently practiced, community resilience generally focuses on defined neighborhood characteristics to describe factors such as vulnerability or social capital. This ignores the way that residents of some neighborhoods (as ‘essential workers’’) were required during the COVID-19 pandemic to sacrifice their wellbeing for the sake of others staying at home in more affluent neighborhoods. Using the global care chain (...) theory, we analyze the way that the resilience of affluent neighborhoods depends on siphoning off the labor of other, less affluent neighborhoods, creating what we call the parasitic nature of resilience. We argue that understanding this neighborhood interdependence—and accounting for its parasitic nature— should be prioritized by public health authorities to prevent unintentional harm in future pandemics. Otherwise, any public health emergency response that relies on this labor (as did the COVID-19 pandemic response) depends on exploitative practices that produce the very disparities the response is trying to address. We explore the theoretical grounding and practical effects of this idea to provide the preparedness enterprise with an initial set of theoretical tools to move from a model of community resilience to one of community renewal. The community renewal model is based on an underlying ethics of care, in which systems are redesigned to become more prosocial during a public health response. We believe this model can more successfully address the tragic inequities in labor and health outcomes that we see during public health emergencies. (shrink)

Most studies on entrepreneurship have highlighted the relative importance of a conducive environment for the development of entrepreneurship. This notwithstanding, entrepreneurship has been noted to thrive even under the most adverse conditions, such as during economic, social and political instabilities. Using resilience as the propensity to bounce back after adversity and xenophobia, crime, unhealthy competition, etc. as correlates of adversity or an unconducive business environment, this paper investigated the preponderance of Somali grocery shops in South African township despite the (...) perceived hostility of the business environment. Anchored on the qualitative research approach, a purposive sample of 13 participants provided the required data for analysis. Specifically, the data collection took the form of focus group interviews in which two groups of 6 and 7 informants were purposively selected to be part of the interviews. Prominent in the results was the fact that almost all the current Somali grocery shops in the study area have been victims of crime and theft. Furthermore, virtually all the Somali grocery shops that were victimized during the xenophobic outburst have since re-opened. The foregoing themes of resilience and adversity unmistakably indicate the propensity of Somali grocery shop owners’ ability to bounce back. As to what township entrepreneurs worry or fear most, clearly, the fear of the re-occurrence of the xenophobic attacks surpassed that of burglary, theft and death. As to what fuels Somali’s persistence and preponderance in townships, both push and pull factors were reported. Reporting on risk aversion, it was noted that most of the founders (here referred to as an entrepreneur) are not actively involved in running the shops. They simply recruit others to do the job on their behalf. Under this circumstance, the risk is limited to financial risk. This approach is quite different for other African immigrants in the same township. -/- . (shrink)

This article asks whether resilience is a normative term, and answers this question in the affirmative. I start by explaining two arguments that have been offered in favour of the ‘resilience-as-descriptive’ thesis (RD). Then I criticize this view by advancing five reasons why resilience should be considered a normative term (RN).

Summarizing the historical background and characteristics of the present, it should be noted that they are significantly different from the characteristics of the world where past generations lived, which undoubtedly poses new challenges for the human ability to withstand the growing pressure of stress factors. The article considers the problems of psychological resilience and fragility in terms of Existential-analytical psychotherapy of V. Frankl and A. Langle, analyzes the historical context of the present-day Ukraine, external and internal characteristics of the (...) modern world, identifies the role of personality in overcoming negative stress influences, proposes a therapeutic model of optimization of psychological resilience in the context of four fundamental existential motivations. The analysis of recent research indicates that the most important resource of psychological resilience lies on the personal level. Using the Existential-Analytical concept of personality structure (Dr. A. Leangle), the article analyzes the preconditions of the emergence of a threat to loss of integrity in each of the four fundamental existential dimensions. On the other hand, stability is ensured by the full realization of being in the following existential dimensions: relations with the world, which requires space, protection, and support; a relationship with life, a deep feeling that life is good; interconnection with oneself, awareness and respect for their own authenticity and uniqueness, which requires honest and attentive attitudes, recognition of their own values; relationships with the meaning -- awareness of the value and potential of one’s own live, the search for the ways to realize its meaningful integrity. (shrink)

This chapter looks closely at the use of resilience as a value in pandemic discourses, and particularly at how it reflects the moral complexity of the situation the pandemic presents: an extended crisis where shocks and stressors interact and have an uncertain end. We review key aspects of how resilience has been conceptualised, generally speaking, focusing on its normative implications. Insofar as resilience is suggested as a goal, or used to evaluate individuals, groups and systems, the rhetorical (...) use of resilience in the pandemic has moral implications that we unpack. Asking questions such as resilience to what, of what, and for whom, drives our analysis of the multiple scales at which morally relevant factors must be considered, in terms of distance and certainty, and across space and over time. Further, we highlight the importance of particularly challenging, intersecting scales both within and beyond the pandemic, such as the interaction between other- and self-regarding concerns and the tension between transformation and conservation, as we consider when to take up opportunities for improving ourselves, our society and our systems, in times of extended crises and radical change. Given that a ‘return to normal’ is neither universally desirable nor likely, we recommend in this chapter ways to address resilience as a value that can shape approaches to policy and behaviour while also being explicit about the normative—evaluative and also prescriptive—implications of its use. (shrink)

Aim: This study attempted to assess the organizational resiliency in the implementation of Basic Education School Learning Continuity Plan and to design a resilient basic education school learning continuity plan. -/- Methodology: The study used mixed method which is quantitative and qualitative. The data for the quantitative part of the study were gathered through a survey with the 19 school heads and 345 teacher- respondents while the qualitative method was conducted through focus group discussion interview with 19 key informants who (...) were composed of the teachers, school heads and stakeholders. The research instrument that was used for the perceived organizational resiliency was a survey questionnaire that was validated by the experts and which the reliability was tested through Cronbach’s alpha with excellent level of internal consistency. The statistical treatment for quantitative results used mean and standard deviation to determine the perception of the respondents with regards to the organizational resiliency on the implementation of the BE-SLCP and Pearson Product Moment Correlation Coefficient, testing its significance at the 0.05 level was used in finding out the relationship between the evaluation of the basic education school learning continuity plan and school performance indicators and organizational resiliency. While content analysis was employed for the qualitative results. -/- Results: The salient findings of the study were as follows: The result showed that the rate of enrollment during pandemic is low while the drop-out rate fostered a positive rate. The school heads and teacher respondents perceived the schools’ organizational resiliency as high. Based on the feedback of the key informants the lessons learned from the implementation of Basic Education School Learning Continuity Plan are strong collaboration, consistent communication, and enhanced ICT Skills. The best practices that were observed are sustained partnership and continuous implementation of programs, projects, and activities. The challenges encountered include authenticity of assessment and low capability of learning facilitators at home. The respondent assessed the developed learning continuity plan as very highly satisfactory. -/- Conclusion: The organizational resiliency of schools is high in its performance of continuing education during pandemic. The study suggests that the schools may developed creative strategies on increasing enrolment; the school may strengthen its school-based management level to ensure that the plans and goals for continuity of education will be achieved; the school may also consider strengthening the stakeholders’ involvement and the school may consider the strategy of close coordination and constant monitoring and follow-ups with parents/guardians on the implementation of learning delivery. (shrink)

Gao, Barzel, and Barabási attempted to devise a method to identify universal resilience in systems. This target was missed due to simplification in the methodology and to the confounding of the system-functions resilience and robustness. These two system-functions are distinct in both their form and in the roles they play in systems. There are many different kinds of both robustness and resilience. To clarify the difference between robustness and resilience, a short guide is provided consisting of (...) six examples of robustness and six examples of resilience. There is a concluding discussion concerning the manner in which robustness and resilience are confounded in the paper “Universal Resilience Patterns in Complex Networks.” -/- . (shrink)

The learning process of both students and teachers can be predicted based on the learning mode. Therefore, because of the COVID-19 pandemic, schools must start using online learning and abandon more traditional teaching techniques. Thus, this study investigates the relationship between self-efficacy and academic resilience among 150 senior high school students. Thus, the researchers employed General Self-Efficacy and Resilience Scale. Finally, the statistical analysis reveals that the r coefficient of 0.78 indicates a high positive correlation between the variables. (...) The p-value of 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between self-efficacy and resilience among senior high school students. (shrink)

We recently presented our Efimov K-theory of Diamonds, proposing a pro-diamond, a large stable (∞,1)-category of diamonds (D^{diamond}), and a localization sequence for diamond spectra. Commensurate with the localization sequence, we now detail four potential applications of the Efimov K-theory of D^{diamond}: emergent time as a pro-emergence (v-stack time) in a diamond holographic principle using Scholze’s six operations in the ’etale cohomology of diamonds; a pro-Generative Adversarial Network and v-stack perceptron; D^{diamond}cryptography; and diamond nonlocality in perfectoid quantum physics.

Although Professor Schiffer and I have many times disagreed, I share his deep and abiding commitment to argument as a primary philosophical tool. Regretting any communication failure that has occurred, I endeavor here to make clearer my earlier reply in “Illogical Belief” to Schiffer’s alleged problem for my version of Millianism.1 I shall be skeletal, however; the interested reader is encouraged to turn to “Illogical Belief” for detail and elaboration. I have argued that to bear a propositional attitude de re (...) is to bear that attitude toward the corresponding singular proposition, no more and no less. If this is right, then according to Millianism every instance of the following modal schema is true. (shrink)

Adversarial philosophy is under attack (!), but I speculate that it is useful for working out the level of a philosopher and sometimes for increasing the respect awarded to some individuals and groups. There may be no alternative to it when you have an excess of philosophers of around the same level.

In adversarial machine learning, attackers add carefully crafted perturbations to input, where the perturbations are almost imperceptible to humans, but can cause models to make wrong predictions. In this paper, we did comprehensive review of some of the most recent research, advancement and discoveries on adversarial attack, adversarial sampling generation, the potency or effectiveness of each of the existing attack methods, we also did comprehensive review on some of the most recent research, advancement and discoveries on (...) class='Hi'>adversarial defense strategies, the effectiveness of each defense methods, and finally we did comparison on effectiveness and potency of different adversarial attack and defense methods. We came to conclusion that adversarial attack will mainly be blackbox for the foreseeable future since attacker has limited or no knowledge of gradient use for NN model, we also concluded that as dataset becomes more complex, so will be increase in demand for scalable adversarial defense strategy to mitigate or combat attack, and we strongly recommended that any neural network model with or without defense strategy should regularly be revisited, with the source code continuously updated at regular interval to check for any vulnerability against newer attack. (shrink)

From a nonideal justice perspective, this article investigates liability and compensation intheir wider theoretical context to better understand the governance of climate loss anddamage under the United Nations Framework Convention on Climate Change(UNFCCC). The usual rationale for considering compensation takes a backward-looking understanding of responsibility. It links those causing harm directly to its remedy. Thisarticle shows that, under current political circumstances, it is more reasonable to understandresponsibility as a forward-looking concept and thus to differentiate responsibilitieson grounds of capacity and solidarity. (...) The article argues that loss and damage entitlementsinUNFCCCgovernance should be understood as entitlements to a threshold of capabilitiesfor resilience. While compensation merely means redressing the situation ex ante a threat,entitlements to capabilities for resilience can entail more demanding responsibilities ofsupport. This means that Article 8 of the Paris Agreement has much more demandingimplications than it might at first appear. (shrink)

In this paper, a framework incorporating flexibility as a characteristic is proposed for designing complex, resilient socio-ecological systems. In an interconnected complex system, flexibility allows prompt deployment of resources where they are needed and is crucial for both innovation and robustness. A comparative analysis of flexible manufacturing systems, economics, evolutionary biology, and supply chain management is conducted to identify the most important characteristics of flexibility. Evolutionary biology emphasises overlapping functions and multi-functionality, which allow a system with structurally different elements to (...) perform the same function, enhancing resilience. In economics, marginal cost and marginal expected profit are factors that are considered to be important in incorporating flexibility while making changes to the system. In flexible manufacturing systems, the size of choice sets is important in creating flexibility, as initial actions preserve more options for future actions that will enhance resilience. Given the dynamic nature of flexibility, identifying the characteristics that can lead to flexibility will introduce a crucial dimension to designing resilient and sustainable socio-ecological systems with a long-term perspective in mind. (shrink)

Purpose – This study aims to examine the observer’s role in “infant psychophysics”. Infant psychophysics was developed because the diagnosis of perceptual deficits should be done as early in a patient’s life as possible, to provide efficacious treatment and thereby reduce potential long-term costs. Infants, however, cannot report their perceptions. Hence, the intensity of a stimulus at which the infant can detect it, the “threshold”, must be inferred from the infant’s behavior, as judged by observers (watchers). But whose abilities are (...) actually being inferred? The answer affects all behavior-based conclusions about infants’ perceptions, including the well-proselytized notion that auditory stimulus-detection thresholds improve rapidly during infancy. Design/methodology/approach – In total, 55 years of infant psychophysics is scrutinized, starting with seminal studies in infant vision, followed by the studies that they inspired in infant hearing. Findings – The inferred stimulus-detection thresholds are those of the infant-plus-watcher and, more broadly, the entire laboratory. The thresholds are therefore tenuous, because infants’ actions may differ with stimulus intensity; expressiveness may differ between infants; different watchers may judge infants differently; etc. Particularly, the watcher’s ability to “read” the infant may improve with the infant’s age, confounding any interpretation of perceptual maturation. Further, the infant’s gaze duration, an assumed cue to stimulus detection, may lengthen or shorten nonlinearly with infant age. Research limitations/implications – Infant psychophysics investigators have neglected the role of the observer, resulting in an accumulation of data that requires substantial re-interpretation. Altogether, infant psychophysics has proven far too resilient for its own good. Originality/value – Infant psychophysics is examined for the first time through second-order cybernetics. The approach reveals serious unresolved issues. (shrink)

Today, resilience is used in many societal contexts for understanding how things respond to risks and for improving their performance in this regard, having also become a prominent approach for adapting to climate change. Yet, despite the broad appeal of resilience and resilience-based approaches within and outside academia, there are persisting puzzles about how to interpret resilience, its relation to competing concepts and approaches, or its desirability. Some proponents of resilience advise caution with the normative (...) use of the term, noting that resilience is a purely descriptive and ambivalent quality, which can be good in some circumstances but not in others. Critics have also noted that resilience approaches can be technocratic and that they tend to conceal the needs and vulnerabilities of the poor. -/- These examples demonstrate the need for reflecting on the status and significance of a term that is so widely used in academia and across the science-policy divide, but whose meaning and value are so fiercely disputed. Given that resilience is already informing many large-scale and significant societal efforts, they also raise the need to ask under which conditions such efforts could be just. -/- This work uses philosophical perspectives from ethics, metaethics and justice theory for revisiting recent debates on the meaning and normative status of this concept, with special emphasis on understanding the normative guidance that diverse interpretations of resilience can offer and disclosing the implications that this may have for achieving justice in and through resilience-based interventions. (shrink)

The life of a teacher is not as smooth as many may assume, as reports underscore the myriad challenges faced by educators both locally and internationally. This study aims to delve into the coping strategies employed by teachers within their profession. Utilizing a qualitative case study approach, this research engaged ten (10) junior high school teachers from the Department of Education (DepEd) as participants. Thematic analysis revealed eight (8) key themes encapsulating teachers' coping mechanisms within DepEd, including active coping, positive (...) coping, flexible coping, support group systems, acceptance, avoidant coping, commitment to personal growth, and emotional drivers and motivators. These themes shed light on the diverse array of coping strategies utilized by teachers over time. Categorized into two overarching meta-themes, constructive and non-constructive coping strategies emerged, with the former, encompassing active coping, positive coping, flexible coping, support group systems, acceptance, commitment to personal growth, and emotional drivers and motivators, being the predominant coping mechanisms fostering long-term improvement. Conversely, the latter, represented by avoidant coping, offers short-term relief but may lead to counterproductive outcomes. This study advocates for the development and implementation of a psychosocial training program aimed at enhancing teachers' well-being and resilience within their profession. (shrink)

Many philosophers accept with certainty that we are morally responsible but take it to be an open question whether determinism holds. They treat determinism as epistemically compatible with responsibility. Should one who accepts this form of epistemic compatibilism also hold that determinism is metaphysically compatible with responsibility—that it is metaphysically possible for determinism and responsibility to coexist? John Martin Fischer gives two arguments that appear to favor an affirmative answer to this question. He argues that accounts of responsibility, such as (...) his, that are neutral with respect to whether responsible actions are determined have a "resiliency" that counts in their favor. Furthermore, he criticizes libertarians who argue on a priori grounds that determinism cannot coexist with responsibility and who admit that they would retract their argument if determinism were shown to hold; this "metaphysical flip-flopping" is said to render their positions implausible. I assess the merits of these arguments. (shrink)

This study examines the role of digital technologies in building resilient communities, focusing on data collected during the pandemic. This research aims to explore the impact of digital technologies on community development, assess their effectiveness in enhancing community resilience, and identify key success factors. The study adopts a mixed-methods approach, including qualitative data collected through interviews and focus groups, a review of existing literature and case studies. Preliminary findings indicate that digital technologies have been crucial in supporting community (...) class='Hi'>resilience, enabling virtual communication, remote access to resources, and community engagement. However, disparities in digital access and literacy have influenced their effectiveness. Addressing the digital divide and ensuring equitable access is crucial while providing ongoing support, capacity building, and community engagement. Digital technologies have demonstrated their potential to build resilient communities, particularly in times of crisis. (shrink)

Climate change poses a significant risk threatening the livelihood of people, communities, and cities worldwide. The stakes cannot be reduced to zero, so there is a constant need to re-theorize the collective action to address the climate change challenges. Doing so requires planning to reduce vulnerability to climate change. One of the most crucial challenges facing scientists, academics, citizens, and policymakers today is whether the collaborative, inclusive, and resilient climate change action can be implemented, assessed, and achieved. To respond to (...) this question, this research aims to re-theorize, de-conceptualize, and analyze the collective effort to address the climate change challenges. First, the paper conceptualizes climate change resiliency as the ability to anticipate, prepare for, and respond effectively to climate-related risks, hazards, and threats. The existing challenges toward implementing resilient and inclusive climate change action have been analyzed. The paper theorizes the urban commons and collaborative governance to theorize collective efforts. This article concludes by identifying some critical determinants for the up‐scaling of collective action to address the climate change challenges. It can be supposed that any future inclusive and resilient collective action to address climate change is based on social learning to support decision-making, emphasizing inclusion and equity, which came in line with the United Nation’s 2030 SDGs. (shrink)

Port Cities are historically the places for paradigm shifts, radical changes, and socio-economic transitions. In particular, the interaction zone between the port infrastructure and urban activities creates liminal spaces at the forefront of many contemporary challenges. In these liminal spaces, the port's flows, form, and function intertwine with urban contexts and conflict with the living conditions. Conceptualizing the portcityscape and harborscape as liminal space and urban thresholds leads to (re)thinking about innovative participatory methods and technologies for building community resilience (...) in port cities. Additionally, inevitable constant development in port cities requires adaptability and resilience from the waterfronts to the hinterlands and city centers. Such confrontation of port infrastructures and urbanization is socio-politically and spatially challenging, specifically in historic port cities. Therefore, as the approach to exploiting energy and human resources changes over time, the physicality of the built environment in port cities and how we (re)use the resources need to be redefined. This research investigates key socio-spatial features and challenges of port cities by examining how the port's proximity to the city requires coordination, collaboration, transparency, and community dialogue. The introduction and background literature discuss three domains and notions of port city studies, building community resiliency through participatory frameworks, and parasitic architecture. By building upon this analytical framework, the paper presents case studies developed within the research-led design studio focusing on building resilient communities in four port cities, including Amsterdam, Constanta, Alexandria, and Rio De Janeiro. This research focus on the community-enabled application of emerging technologies, innovative approaches, and co-designing and co-building participatory methods. The selected case studies introduce an integrative and multi-scalar pedagogical framework for building resilient communities in liminal spaces of port cities. (shrink)

It seems obvious that when higher-order evidence makes it rational for one to doubt that one’s own belief on some matter is rational, this can undermine the rationality of that belief. This is known as higher-order defeat. However, despite its intuitive plausibility, it has proved puzzling how higher-order defeat works, exactly. To highlight two prominent sources of puzzlement, higher-order defeat seems to defy being understood in terms of conditionalization; and higher-order defeat can sometimes place agents in what seem like epistemic (...) dilemmas. This chapter draws attention to an overlooked aspect of higher-order defeat, namely that it can undermine the resilience of one’s beliefs. The notion of resilience was originally devised to understand how one should reflect the ‘weight’ of one’s evidence. But it can also be applied to understand how one should reflect one’s higher-order evidence. The idea is particularly useful for understanding cases where one’s higher-order evidence indicates that one has failed in correctly assessing the evidence, without indicating whether one has over- or underestimated the degree of evidential support for a proposition. But it is exactly in such cases that the puzzles of higher-order defeat seem most compelling. (shrink)

Exposure to stress is unavoidable in our daily lives. Most people might be subjected to at least one extreme stress (e.g., potentially life-threatening traumatic situations) that can cause serious adverse effects on their mental health. For that reason, resilience has become a topical research issue among researchers in the fields of medicine, mental health, and science to help people improve their capability to withstand stress.

Cyberspace relies on information technologies to mediate relations between different people, across different communication networks and is reliant on the supporting technology. These interactions typically occur without physical proximity and those working depending on cybersystems must be able to trust the overall human–technical systems that support cyberspace. As such, detailed discussion of cybersecurity policy would be improved by including trust as a key value to help guide policy discussions. Moreover, effective cybersystems must have resilience designed into them. This paper (...) argues that trustworthy cybersystems are a key element to resilient systems, and thus are core to cybersecurity policy. The paper highlights the importance of trustworthiness for resilient cybersystems. The importance of trustworthiness is shown through a discussion of three events where trustworthiness was the target or casualty of cyberattacks: Stuxnet, hacking of communications and the Edward Snowden revelations. The impact of losing trust is highlighted, to underpin the argument that a resilient cybersystem ought to design in trustworthiness. The paper closes off by presenting a general set of policy implications arising from recognition of the interplay between trust, trustworthiness and resilience for effective cybersecurity. (shrink)

Empathic design, which is the outcome of embedding the empathic approach in community resilience, will meet all four critical features of any models which are supposed to satisfy both physical resilience and humanistic considerations. It holds that in addition to the technical knowledge, engineers have to care about the humanistic side of the engineering process as well. Empathic design refers to a design in which the designers, as well as the technical specifications, consider the humanistic aspects of the (...) system in virtue of three types of empathy, namely, cognitive, affective, and conative. The empathic design brings about an inclusive and effective community resilience approach that is human-centric, individual and communal sensitive, justice-oriented, and value-based consistent. (shrink)

Climate change increasingly impacts the resilience of ecosystems and agricultural production. On the one hand, changing weather patterns negatively affect crop yields and thus global food security. Indeed, we live in an age where more than one billion people are going hungry, and this number is expected to rise as climate-induced change continues to displace communities and thus separate them from their means of food production (Internal Displacement Monitoring Centre 2015). In this context, if one accepts a humancentric ethic, (...) then the focus would be on addressing impacts to agricultural production, and thus food security (Borlaug 1997; Navin 2012). On the other hand, ecological resilience is also being impacted by climate change, as species go extinct or migrate due to fluctuating temperatures and shifting weather patterns. This reduction of resilience negatively impacts ecosystem services and the ability of the natural world to support life (Palmer and Larson 2014; Urban 2015). From an environmental holist perspective, then, one could argue that the ethical path would be to focus on reducing negative impacts to species and/or local ecosystems rather than increasing crop yields. Thus, there appears to be a tension between the prioritization of crop yields and the mitigation of ecosystem impacts. While this tension is well established in the agricultural literature (Kirschenmann 2010; Noll 2018), climatezas lochange exacerbates the situation, as agricultural lands are stressed and climate-induced migrations increase already high demands for foodstuffs, thus bringing the conflict to the forefront (Macdonald et al. 2015; Food and Agriculture Organization of the United Nations 2017a). (shrink)

The COVID-19 outbreak had a profound impact on many facets of society, particularly on the educational system. Therefore, all educational content must be delivered to students online, and it is the student’s responsibility to adjust to this new norm. Hence, this study sought to investigate if there is a significant relationship between self-efficacy and resilience among senior high school students. This study utilized correlational research, with the 150 grade 12 senior high school students enrolled in 2022-2023 as respondents. Thus, (...) the researchers employed General Self-Efficacy and Resilience Scale. Finally, the statistical analysis reveals that the r coefficient of 0.53 indicates a moderate positive correlation between the variables. The p-value of 0.00, less than 0.05, leads to rejecting the null hypothesis. Hence, a significant relationship exists between self-efficacy and resilience among senior high school students. (shrink)

This essay is part of a larger project in which I construct a new, historically-informed, social justice-centered philosophy of dance, centered on four central phenomenological constructs, or “Moves.” This essay in particular is about the fourth Move, “resilience.” More specifically, I explore how Judith Butler engages with the etymological aspects of this word, suggesting that resilience involves a productive form of madness and a healthy form of compulsion, respectively. I then conclude by showing how “resilience” can be (...) used in the analysis of various Wittgensteinian “families” of dance, which in turn could facilitate positive educational changes in philosophy, dance and society, with particular efficacy on the axis of gender. In brief, by teaching a conception of strength as vulnerability (instead of machismo’s view of strength as apathetic “toughness”), a pedagogy of dancing resilience provides additional support for feminists (including Anzaldúa, Haraway, Butler and Concepción) who advocate a cautious openness toward seemingly-unlikely resources and allies (including analytic methodologies, Machiavellian politics, and the discourses of the natural sciences). (shrink)

This study investigates the relationship between self-efficacy and resilience among 150 first-year college students. This study used a correlational research design. Thus, General Self-Efficacy Scale and Resilience Scale were utilized to measure the variables. Furthermore, the statistical analysis reveals that the r coefficient of 0.48 indicates a low positive correlation between the variables. The p-value of 0.00, which is less than 0.05, leads to the decision to reject the null hypothesis. Hence, a significant relationship exists between self-efficacy and (...) resilience among first-year college students. Implications were discussed in the study. (shrink)