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A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 33100-33114. PMLR, (2023)Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations., , , , , , и . CoRR, (2023)Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack., , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 7144-7163. PMLR, (2022)Preference Poisoning Attacks on Reward Model Learning., , , , , и . CoRR, (2024)Defending against Adversarial Audio via Diffusion Model., , , , и . ICLR, OpenReview.net, (2023)DensePure: Understanding Diffusion Models towards Adversarial Robustness., , , , , , , , и . CoRR, (2022)On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models., , , , и . CoRR, (2023)On the Exploitability of Instruction Tuning., , , , , и . CoRR, (2023)Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment., , , , , , , , , и . CoRR, (2024)Adversarial Demonstration Attacks on Large Language Models., , , , и . CoRR, (2023)