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Sparks of Artificial General Intelligence: Early experiments with GPT-4


Mar 27, 2023
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, Yi Zhang

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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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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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Hierarchical Federated Learning with Privacy


Jun 10, 2022
Varun Chandrasekaran, Suman Banerjee, Diego Perino, Nicolas Kourtellis

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CONFIDANT: A Privacy Controller for Social Robots


Jan 08, 2022
Brian Tang, Dakota Sullivan, Bengisu Cagiltay, Varun Chandrasekaran, Kassem Fawaz, Bilge Mutlu

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* HRI 2022 

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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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On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples


Aug 03, 2021
Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot

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