# Publications

A Harm-Reduction Framework for Algorithmic Accountability over Personal Information.” 39th IEEE Symposium on Security and Privacy (IEEE 2018).

. Forthcoming. “Differential Privacy: A Primer for a Non-technical Audience (Preliminary Version).” Vanderbilt Journal of Entertainment and Technology Law .Abstract Preliminary Version Updated Version

. Forthcoming. “Heavy Hitters and the Structure of Local Privacy.” In ACM SIGMOD/PODS Conference International Conference on Management of Data (PODS 2018).

. 6/2018. “Clustering Algorithms for the Centralized and Local Models.” Conference on Algorithmic Learning Theory (ALT 2018).

. 4/2018. “ . 3/2018. “Practical Approaches to Big Data Privacy Over Time.” International Data Privacy law Journal (2018). Publisher's Version

. 3/2018. “Differential Privacy on Finite Computers.” in 9th Innovations in Theoretical Computer Science Conference (ITCS 2018); also presented at Theory and Practice of Differential Privacy Conference (TPDP 2017). arXiv PageAbstract ITCS Version Sep 2017 ArXiv Version

. 1/2018. “ . 2018. “Concentration Bounds for High Sensitivity Functions Through Differential Privacy”. arXiv PageAbstract

. 3/2017. “ . 1/2017. “A Semantic Account of Metric Preservation.” Symposium on the Principle of Programming Languages, ACM. arXiv PageAbstract

. 1/2017. “The DataTags System: Sharing Sensitive Data with Confidence.” Research Data Alliance (RDA) 8th Plenary on Privacy Implications of Research Data Sets, during International Data Week 2016.

. 2017. “Between Pure and Approximate Differential Privacy.” Journal of Privacy and Confidentiality.Abstract PDF

. 2017. “Decoupled Classifiers for Fair and Efficient Machine Learning.” In Fairness and Transparency in Machine Learning Conference (FATML).Abstract PDF

. 2017. “Differentially Private Submodular Maximization: Data Summarization in Disguise.” In Proceedings of the 34th International Conference on Machine Learning (ICML 2017).Abstract PDF

. 2017. “Exposed! A Survey of Attacks on Private Data.” Annual Review of Statistics and Its Application (2017).Abstract PDF

. 2017. “Finite Sample Differentially Private Confidence Intervals.” in 9th Innovations in Theoretical Computer Science Conference (ITCS 2018); also presented at Theory and Practice of Differential Privacy Conference (TPDP 2017). arXiv PageAbstract ITCS Version Nov 2017 ArXiv Version

. 2017. “Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy.” National Academies of Sciences, Engineering, and Medicine paper.Abstract

. 2017. “Make Up Your Mind: The Price of Online Queries in Differential Privacy.” Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). arXiv PageAbstract

. 2017. “Modeling Welfare Benefit Policies using the DataTags Toolset.” In European Social Policy Analysis network (ESPAnet). Israel.Abstract PDF

. 2017. “