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149 results

149 results

2024

Song, Patrick, Jayshree Sarathy, Michael Shoemate, and Salil Vadhan. “‘I Inherently just Trust That It Works’: Investigating Mental Models of Open-Source Libraries for Differential Privacy.”. ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW ’24).
Song, Patrick, Jayshree Sarathy, Michael Shoemate, and Salil Vadhan. “‘I Inherently just Trust That It Works’: Investigating Mental Models of Open-Source Libraries for Differential Privacy.”. ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW ’24).
Puig, Sílvia Casacuberta, Cynthia Dwork, and Salil Vadhan. “Complexity-Theoretic Implications of Multicalibration”. ACM Symposium on Theory of Computing (STOC ’24). Association for Computing Machinery, 2024.
Puig, Sílvia Casacuberta, Cynthia Dwork, and Salil Vadhan. “Complexity-Theoretic Implications of Multicalibration”. ACM Symposium on Theory of Computing (STOC ’24). Association for Computing Machinery, 2024.
Ratliff, Zachary, and Salil Vadhan. “A Framework for Differential Privacy Against Timing Attacks”. 31st ACM SIGSAC Conference on Computer and Communications Security (CCS ’24).
Ratliff, Zachary, and Salil Vadhan. “A Framework for Differential Privacy Against Timing Attacks”. 31st ACM SIGSAC Conference on Computer and Communications Security (CCS ’24).

2023

Alabi, Daniel, and Salil Vadhan. “Differentially Private Hypothesis Testing for Linear Regression”. Journal of Machine Learning Research 24, no. 361 (2023): 1-50.
Alabi, Daniel, and Salil Vadhan. “Differentially Private Hypothesis Testing for Linear Regression”. Journal of Machine Learning Research 24, no. 361 (2023): 1-50.
Awan, Jordan, and Salil Vadhan. “Canonical Noise and Private Hypothesis Tests.”. Annals of Statistics 51, no. 2 (2023): 547-72.
Awan, Jordan, and Salil Vadhan. “Canonical Noise and Private Hypothesis Tests.”. Annals of Statistics 51, no. 2 (2023): 547-72.
Vadhan, Salil, and Wanrong Zhang. “Concurrent Composition Theorems for Differential Privacy”. STOC 2023: Proceedings of the 55th Annual ACM Symposium on Theory of Computing. STOC, 2023.
Vadhan, Salil, and Wanrong Zhang. “Concurrent Composition Theorems for Differential Privacy”. STOC 2023: Proceedings of the 55th Annual ACM Symposium on Theory of Computing. STOC, 2023.
Sarathy, Jayshree, Sophia Song, Audrey Haque, Tania Schlatter, and Salil Vadhan. “Don’t Look at the Data! How Differential Privacy Reconfigures Practices of Data Science.”. CHI ’23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Sarathy, Jayshree, Sophia Song, Audrey Haque, Tania Schlatter, and Salil Vadhan. “Don’t Look at the Data! How Differential Privacy Reconfigures Practices of Data Science.”. CHI ’23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Ahmadinejad, AmirMahdi, John Peebles, Edward Pyne, and Aaron Sidford. “Singular Value Approximation and Sparsifying Random Walks on Directed Graphs”. 64th IEEE Annual Symposium on Foundations of Computer Science (FOCS ’23). IEEE, 2023.
Ahmadinejad, AmirMahdi, John Peebles, Edward Pyne, and Aaron Sidford. “Singular Value Approximation and Sparsifying Random Walks on Directed Graphs”. 64th IEEE Annual Symposium on Foundations of Computer Science (FOCS ’23). IEEE, 2023.
Savi, Merveille Koissi, Akash Yadav, Wanrong Zhang, Navin Vembar, Andrew Schroeder, Satchit Balsari, Caroline O. Buckee, Salil Vadhan, and Nishant Kishore. “A Standardised Differential Privacy Framework for Epidemiological Modelling With Mobile Phone Data”. PLOS Digital Health , 2023.
Savi, Merveille Koissi, Akash Yadav, Wanrong Zhang, Navin Vembar, Andrew Schroeder, Satchit Balsari, Caroline O. Buckee, Salil Vadhan, and Nishant Kishore. “A Standardised Differential Privacy Framework for Epidemiological Modelling With Mobile Phone Data”. PLOS Digital Health , 2023.
Lee, Chin Ho, Edward Pyne, and Salil Vadhan. “On the Power of Regular and Permutation Branching Programs.”. Nicole Megow and Adam D. Smith, Eds., RANDOM ’23: Proceedings of the International Conference on Randomization and Computation. Leibniz International Proceedings in Informatics (LIPIcs), Schloss Dagstuhl Leibniz-Zentrum für Informatik , 2023.
Lee, Chin Ho, Edward Pyne, and Salil Vadhan. “On the Power of Regular and Permutation Branching Programs.”. Nicole Megow and Adam D. Smith, Eds., RANDOM ’23: Proceedings of the International Conference on Randomization and Computation. Leibniz International Proceedings in Informatics (LIPIcs), Schloss Dagstuhl Leibniz-Zentrum für Informatik , 2023.
Haney, Samuel, Michael Shoemate, Grace Tian, Salil P. Vadhan, Andrew Vyrros, Vicki Xu, and Wanrong Zhang. “Concurrent Composition for Interactive Differential Privacy With Adaptive Privacy-Loss Parameters”. Weizhi Meng, Christian Damsgaard Jensen, Cas Cremers, and Engin Kirda, Eds., Proceedings of the 30th ACM SIGAC Conference on Computer and Communications Security (CCS ’23). ACM, 2023.
Haney, Samuel, Michael Shoemate, Grace Tian, Salil P. Vadhan, Andrew Vyrros, Vicki Xu, and Wanrong Zhang. “Concurrent Composition for Interactive Differential Privacy With Adaptive Privacy-Loss Parameters”. Weizhi Meng, Christian Damsgaard Jensen, Cas Cremers, and Engin Kirda, Eds., Proceedings of the 30th ACM SIGAC Conference on Computer and Communications Security (CCS ’23). ACM, 2023.
Olagoke, Lukman, Salil Vadhan, and Seth Neel. “Black-Box Training Data Identification in GANs via Detector Networks.” October (2023).
Olagoke, Lukman, Salil Vadhan, and Seth Neel. “Black-Box Training Data Identification in GANs via Detector Networks.” October (2023).