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Verifiable and Provably Secure Machine Unlearning., , , , , and . CoRR, (2022)Alphacodes: Usable, Secure Transactions with Untrusted Providers using Human Computable Puzzles., , , , and . ACM DEV, page 5:1-5:10. ACM, (2016)Entangled Watermarks as a Defense against Model Extraction., , , and . USENIX Security Symposium, page 1937-1954. USENIX Association, (2021)SoK: Machine Learning Governance., , , , , and . CoRR, (2021)Diversity of Thought Improves Reasoning Abilities of Large Language Models., , , , and . CoRR, (2023)A General Framework For Detecting Anomalous Inputs to DNN Classifiers., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8764-8775. PMLR, (2021)Secure Mobile Identities., , , and . CoRR, (2016)Machine Unlearning., , , , , , , and . CoRR, (2019)BlackOut and Obfuscator: An Exploration of the Design Space for Privacy-Preserving Interventions for Voice Assistants, , , , and . arXiv preprint arXiv:1812.00263, (2018)Generative Extraction of Audio Classifiers for Speaker Identification., , , , and . CoRR, (2022)