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Adaptive Machine Unlearning


Jun 08, 2021
Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Chris Waites


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Descent-to-Delete: Gradient-Based Methods for Machine Unlearning


Jul 06, 2020
Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi


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Optimal, Truthful, and Private Securities Lending


Dec 12, 2019
Emily Diana, Michael Kearns, Seth Neel, Aaron Roth


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A New Analysis of Differential Privacy's Generalization Guarantees


Sep 09, 2019
Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld


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Differentially Private Objective Perturbation: Beyond Smoothness and Convexity


Sep 03, 2019
Seth Neel, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu


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Eliciting and Enforcing Subjective Individual Fairness


May 25, 2019
Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu


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The Role of Interactivity in Local Differential Privacy


Apr 07, 2019
Matthew Joseph, Jieming Mao, Seth Neel, Aaron Roth


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How to Use Heuristics for Differential Privacy


Nov 19, 2018
Seth Neel, Aaron Roth, Zhiwei Steven Wu


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Fair Algorithms for Learning in Allocation Problems


Aug 30, 2018
Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Zachary Schutzman


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An Empirical Study of Rich Subgroup Fairness for Machine Learning


Aug 24, 2018
Michael Kearns, Seth Neel, Aaron Roth, Zhiwei Steven Wu


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