Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning - researchr publication authors

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Milad Nasr, Shuang Song 0001, Abhradeep Thakurta, Nicolas Papemoti, Nicholas Carlini. Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning. In 42nd IEEE Symposium on Security and Privacy, SP 2021, San Francisco, CA, USA, 24-27 May 2021. pages 866-882, IEEE, 2021. [doi]

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