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Nicolas Papernot

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Is Federated Learning a Practical PET Yet?

Jan 09, 2023
Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot

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Learned Systems Security

Dec 22, 2022
Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot

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Private Multi-Winner Voting for Machine Learning

Nov 23, 2022
Adam Dziedzic, Christopher A Choquette-Choo, Natalie Dullerud, Vinith Menon Suriyakumar, Ali Shahin Shamsabadi, Muhammad Ahmad Kaleem, Somesh Jha, Nicolas Papernot, Xiao Wang

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Verifiable and Provably Secure Machine Unlearning

Oct 17, 2022
Thorsten Eisenhofer, Doreen Riepel, Varun Chandrasekaran, Esha Ghosh, Olga Ohrimenko, Nicolas Papernot

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Fine-Tuning with Differential Privacy Necessitates an Additional Hyperparameter Search

Oct 05, 2022
Yannis Cattan, Christopher A. Choquette-Choo, Nicolas Papernot, Abhradeep Thakurta

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In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning

Sep 22, 2022
Jiaqi Wang, Roei Schuster, Ilia Shumailov, David Lie, Nicolas Papernot

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Dataset Inference for Self-Supervised Models

Sep 16, 2022
Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot

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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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Generative Extraction of Audio Classifiers for Speaker Identification

Jul 26, 2022
Tejumade Afonja, Lucas Bourtoule, Varun Chandrasekaran, Sageev Oore, Nicolas Papernot

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$p$-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations

Jul 25, 2022
Adam Dziedzic, Stephan Rabanser, Mohammad Yaghini, Armin Ale, Murat A. Erdogdu, Nicolas Papernot

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