# Applying Theoretical Advances in Privacy to Computational Social Science Practice (Sloan Foundation)

Differential privacy on finite computers.” Journal of Privacy and Confidentiality 9, no. 2 (2019). Publisher's VersionAbstract JPC2019.pdf ITCS2018.pdf ArXiv2018.pdf

. “The complexity of computing the optimal composition of differential privacy.” Theory of Computing 14 (2018): 1-35. Publisher's VersionAbstract ArXiv2016.pdf TCC2016-A.pdf TOC2018.pdf

. “Finite sample differentially private confidence intervals.” In Anna R. Karlin, editor, 9th Innovations in Theoretical Computer Science Conference (ITCS 2018), volume 94 of Leibniz International Proceedings in Informatics (LIPIcs), 44:1-44:9. Dagstuhl, Germany, 2018. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik. ITCS, 2018. Publisher's VersionAbstract ITCS2018.pdf ArXiv2017.pdf

. “The Complexity of Differential Privacy.” In Tutorials on the Foundations of Cryptography, 347-450. Springer, Yehuda Lindell, ed. 2017. Publisher's VersionAbstract SPRINGER 2017.pdf ERRATA 2017.pdf MANUSCRIPT 2017.pdf MANUSCRIPT 2016.pdf

. “Locating a small cluster privately.” In Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS ‘16), 413-427. ACM, 2016. Publisher's VersionAbstract PODS2016.pdf ArXiv2017.pdf

. “Differentially private chi-squared hypothesis testing: Goodness of fit and independence testing.” In M. Balcan and K. Weinberger, editors, Proceedings of the 33rd International Conference on Machine Learning (ICML ‘16). 2111-2120, 2016. Publisher's VersionAbstract ICML2016.pdf ArXiv2016.pdf

. “Privacy odometers and filters: Pay-as-you-go composition.” In Advances in Neural Information Processing Systems 29 (NIPS `16). 1921-1929, 2016. Publisher's VersionAbstract ArXiv2016.pdf NIPS2016.pdf

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