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Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer.

, , , , , and . CoRR, (2022)

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Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security., , , , , , and . SP, page 1372-1389. IEEE, (2022)Hard-label Black-box Universal Adversarial Patch Attack., , , , and . USENIX Security Symposium, page 697-714. USENIX Association, (2023)Verifying Distributed Controllers with Local Invariants., , , , and . QRS, page 120-131. IEEE, (2016)Piccolo: Exposing Complex Backdoors in NLP Transformer Models., , , , , and . SP, page 2025-2042. IEEE, (2022)Backdoor Attack through Frequency Domain., , , , , and . CoRR, (2021)PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis., , , , , , , , and . USENIX Security Symposium, page 2365-2382. USENIX Association, (2023)Backdoor Scanning for Deep Neural Networks through K-Arm Optimization., , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9525-9536. PMLR, (2021)Rethinking the Invisible Protection against Unauthorized Image Usage in Stable Diffusion., , , , , , , and . USENIX Security Symposium, USENIX Association, (2024)Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift., , , , , , , , , and 1 other author(s). AAAI, page 10847-10855. AAAI Press, (2024)LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning., , , , , , , , , and . CoRR, (2024)