Pufferfish: A Framework for Mathematical Privacy Definitions von KIFER, Daniel, MACHANAVAJJHALA, Ashwin

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Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy von McKenna, Ryan, Miklau, Gerome, Hay, Michael, Machanavajjhala, Ashwin

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Entity resolution: theory, practice & open challenges von Getoor, Lise, Machanavajjhala, Ashwin

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The 2020 Census Disclosure Avoidance System TopDown Algorithm von John Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Micah Heineck, Christine Heiss, Robert Johns, Daniel Kifer, Philip Leclerc, Ashwin Machanavajjhala, Brett Moran, William Sexton, Matthew Spence, Pavel Zhuravlev

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Shrinkwrap: efficient SQL query processing in differentially private data federations von Bater, Johes, He, Xi, Ehrich, William, Machanavajjhala, Ashwin, Rogers, Jennie

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DPT: differentially private trajectory synthesis using hierarchical reference systems von He, Xi, Cormode, Graham, Machanavajjhala, Ashwin, Procopiuc, Cecilia M., Srivastava, Divesh

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PreFair: Privately Generating Justifiably Fair Synthetic Data von Pujol, David, Gilad, Amir, Machanavajjhala, Ashwin

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Optimizing error of high-dimensional statistical queries under differential privacy von McKenna, Ryan, Miklau, Gerome, Hay, Michael, Machanavajjhala, Ashwin

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Privately Answering Queries on Skewed Data via Per-Record Differential Privacy von Seeman, Jeremy, Sexton, William, Pujol, David, Machanavajjhala, Ashwin

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Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys von Dong, Wei, Fang, Juanru, Yi, Ke, Tao, Yuchao, Machanavajjhala, Ashwin

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L -diversity: Privacy beyond k -anonymity von Machanavajjhala, Ashwin, Kifer, Daniel, Gehrke, Johannes, Venkitasubramaniam, Muthuramakrishnan

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PrivateSQL: a differentially private SQL query engine von Kotsogiannis, Ios, Tao, Yuchao, He, Xi, Fanaeepour, Maryam, Machanavajjhala, Ashwin, Hay, Michael, Miklau, Gerome

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Explaining Differentially Private Query Results with DPXPlain von Wang, Tingyu, Tao, Yuchao, Gilad, Amir, Machanavajjhala, Ashwin, Roy, Sudeepa

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DP-PQD: Privately Detecting Per-Query Gaps in Synthetic Data Generated by Black-Box Mechanisms von Patwa, Shweta, Sun, Danyu, Gilad, Amir, Machanavajjhala, Ashwin, Roy, Sudeepa

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Longshot: Indexing Growing Databases Using MPC and Differential Privacy von Zhang, Yanping, Bater, Johes, Nayak, Kartik, Machanavajjhala, Ashwin

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DPXPlain: privately explaining aggregate query answers von Tao, Yuchao, Gilad, Amir, Machanavajjhala, Ashwin, Roy, Sudeepa

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Multi-Analyst Differential Privacy for Online Query Answering von Pujol, David, Sun, Albert, Fain, Brandon, Machanavajjhala, Ashwin

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Personalized social recommendations: accurate or private von Machanavajjhala, Ashwin, Korolova, Aleksandra, Sarma, Atish Das

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Budget sharing for multi-analyst differential privacy von Pujol, David, Wu, Yikai, Fain, Brandon, Machanavajjhala, Ashwin

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A demonstration of VisDPT: visual exploration of differentially private trajectories von He, Xi, Raval, Nisarg, Machanavajjhala, Ashwin

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