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Efficient Private Algorithms for Learning Halfspaces, , and . (2019)cite arxiv:1902.09009Comment: 21 pages.Subgaussian Tail Bounds via Stability Arguments, and . (2017)cite arxiv:1701.03493.Fingerprinting Codes and the Price of Approximate Differential Privacy, , and . (2013)cite arxiv:1311.3158Comment: Full version of our STOC 2014 paper. To appear in SIAM Journal on Computing.A Primer on Private Statistics, and . (2020)Investigating the Visual Utility of Differentially Private Scatterplots., , , , , , and . IEEE Trans. Vis. Comput. Graph., 30 (8): 5370-5385 (August 2024)Privately Learning High-Dimensional Distributions, , , and . (2018)cite arxiv:1805.00216.Some pairs problems., and . BeyondMR@SIGMOD, page 8. ACM, (2016)Securely Sampling Biased Coins with Applications to Differential Privacy., , and . ACM Conference on Computer and Communications Security, page 603-614. ACM, (2019)Private Mean Estimation of Heavy-Tailed Distributions., , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 2204-2235. PMLR, (2020)Differentially Private Fair Learning., , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3000-3008. PMLR, (2019)