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PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition., , , , и . CoRR, (2022)CSI: Enhancing the Robustness of 3D Point Cloud Recognition against Corruption., , и . CoRR, (2023)Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings?, , , , , , и . ICCV, стр. 7506-7515. IEEE, (2021)Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models., , , , , , , , и . NeurIPS, (2022)RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning., , , , , , , и . ICLR, OpenReview.net, (2022)Semantic Adversarial Attacks via Diffusion Models., , , , , и . BMVC, стр. 271. BMVA Press, (2023)Understanding The Robustness in Vision Transformers., , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 27378-27394. PMLR, (2022)Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving., , , , , , , , и . ACM Conference on Computer and Communications Security, стр. 2267-2281. ACM, (2019)Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features., , , , , и . USENIX Security Symposium, стр. 285-302. USENIX Association, (2019)SMACK: Semantically Meaningful Adversarial Audio Attack., , , и . USENIX Security Symposium, стр. 3799-3816. USENIX Association, (2023)