# Publications

. 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. “Comments to the U.S. Office of Management and Budget, Re: Request for information (New Techniques and Methodologies Based on Combining Data from Multiple Sources)”. omb_comments_01.pdf

. 3/13/2018. “ . 3/2018. “Practical Approaches to Big Data Privacy Over Time.” International Data Privacy Law, 8, 1, Pp. 29-51. 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. “Bridging the Gap between Computer Science and Legal Approaches to Privacy Kobbi Nissim, Aaron Bembenek, Alexandra Wood, Mark Bun, Marco Gaboardi, Urs Gasser, David R. O’Brien, and Salil Vadhan, Bridging the Gap between Computer Science and Legal Appro.” In , 2nd ed., 31: Pp. 687-780. Harvard Journal of Law & Technology. Publisher's VersionAbstract 02.-article-wood-7.21.pdf

. 2018. “The Complexity of Computing the Optimal Composition of Differential Privacy.” In Theory of Cryptography Conference (TCC 2016), 8th ed., 14: Pp. 1-35. Theory of Computing (2018). TOC's VersionAbstract PDF

. 2018. “Composable and Versatile Privacy via Truncated CDP (Poster).” ACM Symposium on the Theory of Computing (STOC 2018).

. 2018. “Finite Sample Differentially Private Confidence Intervals.” 9th Innovations in Theoretical Computer Science Conference (ITCS 2018). arXiv PageAbstract ITCS Version

. 2018. “A Harm-Reduction Framework for Algorithmic Accountability over Personal Information.” IEEE Security & Privacy , 16, 3, Pp. 34-45. Publisher's Version harm-reduction_framework.pdf

. 2018. “Is Privacy

. 2018. “ . 2018. “*Privacy?*” Philosophical Transaction of the Royal Society A, 376, 2128. Publisher's VersionAbstract nissim_wood_-_is_privacy_privacy_.pdfConcentration 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. “