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Generalizing Universal Adversarial Attacks Beyond Additive Perturbations.

, , , and . ICDM, page 1412-1417. IEEE, (2020)

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Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks., , and . CoRR, (2021)Generalizing Universal Adversarial Attacks Beyond Additive Perturbations., , , and . ICDM, page 1412-1417. IEEE, (2020)Generalizing universal adversarial perturbations for deep neural networks., , , and . Mach. Learn., 112 (5): 1597-1626 (May 2023)Reward Certification for Policy Smoothed Reinforcement Learning., , , , , and . CoRR, (2023)A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation., , , , , , , , , and 7 other author(s). CoRR, (2023)Tutorials on Testing Neural Networks., , , , , and . CoRR, (2021)Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification., , , and . ACML, volume 95 of Proceedings of Machine Learning Research, page 502-517. PMLR, (2018)Towards Fairness-Aware Adversarial Learning., , , , and . CoRR, (2024)Gradient-Guided Dynamic Efficient Adversarial Training., , , and . CoRR, (2021)Dual sparse learning via data augmentation for robust facial image classification., , , and . Int. J. Mach. Learn. Cybern., 11 (8): 1717-1734 (2020)