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cleverhans v0.1: an adversarial machine learning library., , and . CoRR, (2016)Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks., , , , and . CoRR, (2015)Private Multi-Winner Voting for Machine Learning., , , , , , , , and . Proc. Priv. Enhancing Technol., 2023 (1): 527-555 (January 2023)The Space of Transferable Adversarial Examples., , , , and . CoRR, (2017)On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches., , , , , , , and . CoRR, (2017)A Marauder's Map of Security and Privacy in Machine Learning.. CoRR, (2018)Making machine learning robust against adversarial inputs., , and . Commun. ACM, 61 (7): 56-66 (2018)How Relevant Is the Turing Test in the Age of Sophisbots?, , , and . IEEE Secur. Priv., 17 (6): 64-71 (2019)Practical Black-Box Attacks against Machine Learning., , , , , and . AsiaCCS, page 506-519. ACM, (2017)Robust and Actively Secure Serverless Collaborative Learning., , , , , , , , , and . CoRR, (2023)