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#machine learning Preprint Oct 2026

Pareto-Improving Adversarial Attacks with Primal-Dual Regularization

Transferable adversarial attacks are arguably the most practical black-box threat model. Under the same perturbation budget, stronger transfer attacks attain higher attack success rate (ASR), yet their imperceptibility also tends to degrade. Under such a fixed-budget protocol, transferability and imperceptibility there...

Yang Dai, Long-Fei Zhang, Wei Tao et al. · 0 citations

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