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An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?, , , , , , , , and . CoRR, (2020)Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples., , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 274-283. PMLR, (2018)Poisoning Web-Scale Training Datasets is Practical., , , , , , , , and . CoRR, (2023)Measuring Forgetting of Memorized Training Examples., , , , , , , , , and 1 other author(s). CoRR, (2022)Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5231-5240. PMLR, (2019)Session details: Session 1: Adversarial Machine Learning.. AISec@CCS, ACM, (2021)The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks., , , , and . USENIX Security Symposium, page 267-284. USENIX Association, (2019)Cryptanalytic Extraction of Neural Network Models., , and . CRYPTO (3), volume 12172 of Lecture Notes in Computer Science, page 189-218. Springer, (2020)Label-Only Membership Inference Attacks., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1964-1974. PMLR, (2021)An Evaluation of the Google Chrome Extension Security Architecture., , and . USENIX Security Symposium, page 97-111. USENIX Association, (2012)