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Private Multi-Winner Voting for Machine Learning., , , , , , , , and . Proc. Priv. Enhancing Technol., 2023 (1): 527-555 (January 2023)On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning., , , , , , , and . CoRR, (2022)Cellular Immunotherapy Treatment Scheduling to Address Antigen Escape., and . CDC, page 4634-4639. IEEE, (2020)Private Multi-Winner Voting for Machine Learning., , , , , , , , and . CoRR, (2022)Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness., , , , and . FAccT, page 149-160. ACM, (2021)Proof-of-Learning is Currently More Broken Than You Think., , , , , , , and . EuroS&P, page 797-816. IEEE, (2023)Improving the Fairness of Chest X-ray Classifiers., , , , , and . CHIL, volume 174 of Proceedings of Machine Learning Research, page 204-233. PMLR, (2022)Washing The Unwashable : On The (Im)possibility of Fairwashing Detection., , , , , , , and . NeurIPS, (2022)Confidential-PROFITT: Confidential PROof of FaIr Training of Trees., , , , , , , and . ICLR, OpenReview.net, (2023)Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning., , , , and . ICLR, OpenReview.net, (2022)