DeDiAttack: Enhancing Transferability of Unrestricted Adversarial Examples via Deformation-Constrained Diffusion. [PDF]
Qu B, Peng A, Zhao S.
europepmc +1 more source
Attentional semantic attack for enhancing adversarial samples transferability. [PDF]
Wang P, Liu J.
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Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection. [PDF]
Kim J, Im H, Kim S, Lee S.
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Query-Efficient Hard-Label Attack: A Prior-Guided Adam Ray Search Optimization. [PDF]
Ding T, Xu X, Xuan Q, Yu H, Ma C.
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Secure yet fragile: adversarial vulnerabilities of federated vision-language models in medical AI. [PDF]
Fime AA +7 more
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AB jailbreaking - a novel hybrid framework for exploitation of adversarial vulnerabilities in LLMs. [PDF]
Ahmad A +3 more
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An Unsupervised Detection-to-Mitigation Framework for Resource Exhaustion Attacks in 5G/6G Network Slicing. [PDF]
Kim JE +4 more
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Momentum-Based Adversarial Attacks and Multi-Level Denoising Defenses in Deep Learning-Based Wind Power Forecasting. [PDF]
Min Y, Jiang C, Yang K, Wen X, Chen K.
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