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On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning


Aug 06, 2022
Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot

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On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning


Oct 22, 2021
Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot

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SoK: Machine Learning Governance


Sep 20, 2021
Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot

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Proof-of-Learning: Definitions and Practice


Mar 09, 2021
Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot

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* To appear in the 42nd IEEE Symposium on Security and Privacy 

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Entangled Watermarks as a Defense against Model Extraction


Feb 27, 2020
Hengrui Jia, Christopher A. Choquette-Choo, Nicolas Papernot

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Machine Unlearning


Dec 09, 2019
Lucas Bourtoule, Varun Chandrasekaran, Christopher Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot

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