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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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Selective Classification Via Neural Network Training Dynamics


May 26, 2022
Stephan Rabanser, Anvith Thudi, Kimia Hamidieh, Adam Dziedzic, Nicolas Papernot


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Bounding Membership Inference


Feb 24, 2022
Anvith Thudi, Ilia Shumailov, Franziska Boenisch, 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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Unrolling SGD: Understanding Factors Influencing Machine Unlearning


Sep 27, 2021
Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, 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

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

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