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Reminiscences.. J. Priv. Confidentiality, (2018)On the Difficulties of Disclosure Prevention in Statistical Databases or The Case for Differential Privacy., and . J. Priv. Confidentiality, (2010)Calibrating Noise to Sensitivity in Private Data Analysis., , , and . J. Priv. Confidentiality, 7 (3): 17-51 (2016)Toward Privacy in Public Databases., , , , and . TCC, volume 3378 of Lecture Notes in Computer Science, page 363-385. Springer, (2005)Architecture Selection via the Trade-off Between Accuracy and Robustness., , , and . CoRR, (2019)Performing Work Efficiently in the Presence of Faults., , and . SIAM J. Comput., 27 (5): 1457-1491 (1998)Time-Lapse Snapshots., , , and . SIAM J. Comput., 28 (5): 1848-1874 (1999)Scaffolding Sets., , , and . CoRR, (2021)Privacy-preserving Prediction., and . COLT, volume 75 of Proceedings of Machine Learning Research, page 1693-1702. PMLR, (2018)Analyze gauss: optimal bounds for privacy-preserving principal component analysis., , , and . STOC, page 11-20. ACM, (2014)