Sloan Foundation 2015

Bibliographic References tagged with Sloan Foundation 2015

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Hay, Michael, Marco Gaboardi, and Salil Vadhan. “A Programming Framework for OpenDP”. 6th Workshop on the Theory and Practice of Differential Privacy (TPDP 2020).
Hay, Michael, Marco Gaboardi, and Salil Vadhan. “A Programming Framework for OpenDP”. 6th Workshop on the Theory and Practice of Differential Privacy (TPDP 2020).
OpenDP, Team. “The OpenDP White Paper.”
OpenDP, Team. “The OpenDP White Paper.”
Vadhan, Salil. “The Complexity of Differential Privacy”. In Tutorials on the Foundations of Cryptography, 347-450. Springer, Yehuda Lindell, ed., 2017.
Vadhan, Salil. “The Complexity of Differential Privacy”. In Tutorials on the Foundations of Cryptography, 347-450. Springer, Yehuda Lindell, ed., 2017.
Murtagh, Jack, and Salil Vadhan. “The Complexity of Computing the Optimal Composition of Differential Privacy”. Theory of Computing 14 (2018): 1-35.
Murtagh, Jack, and Salil Vadhan. “The Complexity of Computing the Optimal Composition of Differential Privacy”. Theory of Computing 14 (2018): 1-35.
Nissim, Kobbi, Uri Stemmer, and Salil Vadhan. “Locating a Small Cluster Privately”. In Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS ‘16), 413-27. ACM, 2016.
Nissim, Kobbi, Uri Stemmer, and Salil Vadhan. “Locating a Small Cluster Privately”. In Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS ‘16), 413-27. ACM, 2016.
Gaboardi, Marco, Hyun Woo Lim, Ryan Rogers, and Salil Vadhan. “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.
Gaboardi, Marco, Hyun Woo Lim, Ryan Rogers, and Salil Vadhan. “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.
Rogers, Ryan, Aaron Roth, Jonathan Ullman, and Salil Vadhan. “Privacy Odometers and Filters: Pay-As-You-Go Composition”. In Advances in Neural Information Processing Systems 29 (NIPS `16). 1921-1929, 2016.
Rogers, Ryan, Aaron Roth, Jonathan Ullman, and Salil Vadhan. “Privacy Odometers and Filters: Pay-As-You-Go Composition”. In Advances in Neural Information Processing Systems 29 (NIPS `16). 1921-1929, 2016.
Karwa, Vishesh, and Salil Vadhan. “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.
Karwa, Vishesh, and Salil Vadhan. “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.
Balcer, Victor, and Salil Vadhan. “Differential Privacy on Finite Computers”. Journal of Privacy and Confidentiality 9, no. 2 (2019).
Balcer, Victor, and Salil Vadhan. “Differential Privacy on Finite Computers”. Journal of Privacy and Confidentiality 9, no. 2 (2019).