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Defense-VAE: A Fast and Accurate Defense Against Adversarial Attacks [PDF]
, 2020 Deep neural networks (DNNs) have been enormously successful across a variety of prediction tasks. However, recent research shows that DNNs are particularly vulnerable to adversarial attacks, which poses a serious threat to their applications in security-sensitive systems.
Xiang Li 0080, Shihao Ji 0001
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Advanced Intelligent Systems, EarlyView.Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
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Complex & Intelligent SystemsNeural networks are vulnerable to meticulously crafted adversarial examples, leading to high-confidence misclassifications in image classification tasks. Due to their consistency with regular input patterns and the absence of reliance on the target model
Xinlei Liu +6 more
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A Mask-Based Adversarial Defense Scheme
Algorithms, 2022 Adversarial attacks hamper the functionality and accuracy of deep neural networks (DNNs) by meddling with subtle perturbations to their inputs. In this work, we propose a new mask-based adversarial defense scheme (MAD) for DNNs to mitigate the negative ...
Weizhen Xu +3 more
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Defensive Dual Masking for Robust Adversarial Defense
Computational LinguisticsAbstract Adversarial defenses for textual data have gained considerable attention in recent years due to the increasing vulnerability of Natural Language Processing (NLP) models to adversarial attacks. These attacks exploit subtle perturbations in input text to deceive models, posing significant challenges to model robustness and ...
Wangli Yang +3 more
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British Educational Research Journal, EarlyView.Abstract Parents of children with special educational needs and disabilities (SEND) increasingly seek information and support through online discussions, yet little is known about how architectural features of digital platforms shape the interactions and support that parents encounter. The paper makes two contributions: First, it develops and applies a
Alan Shaw, Patricia A. Shaw
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Care and COVID 19: Lessons for liberals and neoliberals
Child &Family Social Work, EarlyView., 2023 Abstract Within the liberal political traditions, care is regarded as a private matter, a problem of ethics rather than justice. Social justice is framed as an issue of economics (re/distribution), culture (recognition) and/or politics (representation).
Kathleen Lynch
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You Can’t Fool All the Models: Detect Adversarial Samples via Pruning Models
IEEE Access, 2021 Many adversarial attack methods have investigated the security issue of deep learning models. Previous works on detecting adversarial samples show superior in accuracy but consume too much memory and computing resources.
Renxuan Wang +3 more
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Business Strategy and the Environment, EarlyView.ABSTRACT In an era of rising geopolitical tensions and environmental instability, corporate political activities have become increasingly intertwined with ethical challenges and sustainability requirements. This study investigates the influence of environmental dynamics and corporate ethical responsibility on interorganizational conflict and ...
David Yulong Liu +4 more
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Business Strategy and the Environment, EarlyView.ABSTRACT Firms articulate sustainability objectives but depend on suppliers and business partners to enact them. As commitments cross organizational and professional boundaries, their meaning may fragment even when parties agree in principle.
Mohammad Naji Shah Mohammadi, Ebru Metin
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