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Alphacodes: Usable, Secure Transactions with Untrusted Providers using Human Computable Puzzles., , , , and . ACM DEV, page 5:1-5:10. ACM, (2016)Diversity of Thought Improves Reasoning Abilities of Large Language Models., , , , and . CoRR, (2023)Verifiable and Provably Secure Machine Unlearning., , , , , and . CoRR, (2022)SoK: Machine Learning Governance., , , , , and . CoRR, (2021)Entangled Watermarks as a Defense against Model Extraction., , , and . USENIX Security Symposium, page 1937-1954. USENIX Association, (2021)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)Enhancing ML Robustness Using Physical-World Constraints., , , , , and . CoRR, (2019)Face-Off: Adversarial Face Obfuscation., , , and . CoRR, (2020)Teaching Language Models to Hallucinate Less with Synthetic Tasks., , , , , , , and . CoRR, (2023)Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models., , , , , , , and . CoRR, (2023)