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Defense Against Adversarial Ai
Journal of Cognitive Human-Computer InteractionThe increasing prevalence of deep learning technology has paved the way for a new era of AI-powered capabilities, promising revolutionary advancements across various societal domains such as healthcare and autonomous vehicles. Despite offering potent solutions to complex problems, the formidable power of these AI systems is accompanied by a ...
Bhavani Bhavani +3 more
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Adversarial anchor-guided feature refinement for adversarial defense
Image and Vision Computing, 2023Hakmin Lee, Yong Man Ro
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Predictive defense against evolving adversaries
2012 IEEE International Conference on Intelligence and Security Informatics, 2012Adaptive adversaries are a primary concern in several domains, including cyber defense, border security, counterterrorism, and fraud prevention, and consequently there is great interest in developing defenses that maintain their effectiveness in the presence of evolving adversary strategies and tactics.
Richard Colbaugh, Kristin Glass
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Defensive Bit Planes: Defense Against Adversarial Attacks
2022 International Joint Conference on Neural Networks (IJCNN), 2022Achyut Mani Tripathi +2 more
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Adversarial Machine Learning in Wireless Communications Using RF Data: A Review
IEEE Communications Surveys and Tutorials, 2023Damilola Adesina +2 more
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A Survey on Generative Adversarial Networks: Variants, Applications, and Training
ACM Computing Surveys, 2022Songyuan Li
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