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Michael Kearns

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Diversified Ensembling: An Experiment in Crowdsourced Machine Learning

Feb 16, 2024
Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth

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Membership Inference Attacks on Diffusion Models via Quantile Regression

Dec 08, 2023
Shuai Tang, Zhiwei Steven Wu, Sergul Aydore, Michael Kearns, Aaron Roth

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Scalable Membership Inference Attacks via Quantile Regression

Jul 07, 2023
Martin Bertran, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu

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Balanced Filtering via Non-Disclosive Proxies

Jul 05, 2023
Siqi Deng, Emily Diana, Michael Kearns, Aaron Roth

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Replicable Reinforcement Learning

May 24, 2023
Eric Eaton, Marcel Hussing, Michael Kearns, Jessica Sorrell

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AI Model Disgorgement: Methods and Choices

Apr 07, 2023
Alessandro Achille, Michael Kearns, Carson Klingenberg, Stefano Soatto

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Improved Differentially Private Regression via Gradient Boosting

Mar 06, 2023
Shuai Tang, Sergul Aydore, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Zhiwei Steven Wu

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Multicalibration as Boosting for Regression

Jan 31, 2023
Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell

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Confidence-Ranked Reconstruction of Census Microdata from Published Statistics

Nov 06, 2022
Travis Dick, Cynthia Dwork, Michael Kearns, Terrance Liu, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu

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