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Alphacodes: Usable, Secure Transactions with Untrusted Providers using Human Computable Puzzles., , , , и . ACM DEV, стр. 5:1-5:10. ACM, (2016)Diversity of Thought Improves Reasoning Abilities of Large Language Models., , , , и . CoRR, (2023)A General Framework For Detecting Anomalous Inputs to DNN Classifiers., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8764-8775. PMLR, (2021)Entangled Watermarks as a Defense against Model Extraction., , , и . USENIX Security Symposium, стр. 1937-1954. USENIX Association, (2021)Enhancing ML Robustness Using Physical-World Constraints., , , , , и . CoRR, (2019)Face-Off: Adversarial Face Obfuscation., , , и . CoRR, (2020)Characterizing privacy perceptions of voice assistants: A technology probe study, , , и . arXiv preprint arXiv:1812.00263, (2018)A Framework for Analyzing Spectrum Characteristics in Large Spatio-temporal Scales., , , и . MobiCom, стр. 49:1-49:16. ACM, (2019)Third International Workshop on Dependable and Secure Machine Learning - DSML 2020., , , , , , и . DSN Workshops, стр. x. IEEE, (2020)Teaching Language Models to Hallucinate Less with Synthetic Tasks., , , , , , , и . CoRR, (2023)