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Backdoor Attacks Against Deep Learning Systems in the Physical World.

E. Wenger, J. Passananti, A. Bhagoji, Y. Yao, H. Zheng, и B. Zhao. CVPR, стр. 6206-6215. Computer Vision Foundation / IEEE, (2021)

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Emily Solly

Emily Shen

Emily Bünn

Emily Feneberg

Emily Wimmer

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Data Isotopes for Data Provenance in DNNs.E. Wenger, X. Li, B. Zhao, и V. Shmatikov. CoRR, (2022)Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models.S. Shan, J. Cryan, E. Wenger, H. Zheng, R. Hanocka, и B. Zhao. USENIX Security Symposium, стр. 2187-2204. USENIX Association, (2023)Fawkes: Protecting Privacy against Unauthorized Deep Learning Models.S. Shan, E. Wenger, J. Zhang, H. Li, H. Zheng, и B. Zhao. USENIX Security Symposium, стр. 1589-1604. USENIX Association, (2020)Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models.S. Shan, E. Wenger, J. Zhang, H. Li, H. Zheng, и B. Zhao. CoRR, (2020)Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks.H. Li, S. Shan, E. Wenger, J. Zhang, H. Zheng, и B. Zhao. CoRR, (2020)Data Isotopes for Data Provenance in DNNs.E. Wenger, X. Li, B. Zhao, и V. Shmatikov. Proc. Priv. Enhancing Technol., 2024 (1): 413-429 (января 2024)Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks.S. Shan, E. Wenger, B. Wang, B. Li, H. Zheng, и B. Zhao. CCS, стр. 67-83. ACM, (2020)SoK: Anti-Facial Recognition Technology.E. Wenger, S. Shan, H. Zheng, и B. Zhao. CoRR, (2021)SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.S. Stevens, E. Wenger, C. Li, N. Nolte, E. Saxena, F. Charton, и K. Lauter. IACR Cryptol. ePrint Arch., (2024)SalsaPicante: A Machine Learning Attack on LWE with Binary Secrets.C. Li, J. Sotáková, E. Wenger, M. Malhou, E. Garcelon, F. Charton, и K. Lauter. CCS, стр. 2606-2620. ACM, (2023)

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