Citation:
Gong, Roubin, Erica L. Groshen, and Salil Vadhan, ed. “Special Issue on Differential Privacy for the 2020 U.S. Census: Can we Make Data Both Private and Useful?” Harvard Data Science Review , 2022, Special Issue, 2.
Salil Vadhan
Vicky Joseph Professor of Computer Science and Applied Mathematics
This portion of the site is new and papers are still being added.
For a more complete list of my publications, please see my former site, Digital Access to Scholarship at Harvard (DASH), the DBLP Computer Science Bibliography, the Privacy Tools Project, and/or my CV.
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- A Unified Theory of Pseudorandomness (NSF CCF-0133096) (17)
- Alfred P. Sloan Research Fellowship (11)
- Applying Theoretical Advances in Privacy to Computational Social Science Practice (Sloan Foundation) (9)
- Computational Entropy (NSF CCF-1116616) (10)
- Computational Notions of Entropy and Cryptographic Applications (US-Israel Binational Science Foundation; BSF 2010196) (5)
- Computing Over Distributed Sensitive Data (NSF CNS-1565387) (2)
- Exploiting Opportunities in Pseudorandomness (NSF CCF-1763299) (10)
- Formal Privacy Models and Title 13 (Census Cooperative Agreement CB16ADR0160001) (3)
- Guggenheim Fellowship (7)
- ITR: Information Theoretic Secure Hyper-Encryption and Protocols (NSF CNS-0205423) (3)
- Identifying Opportunities in Pseudorandomness (NSF CCF-1749750) (1)
- Incentive-Compatible Machine Learning (NSF CCF-0915016) (2)
- Miller Institute for Basic Research in Science (1)
- New Complexity-Theoretic Techniques in Cryptography (NSF CNS-0430336) (11)
- Privacy Tools for Sharing Research Data (NSF CNS-1237235) (19)
- Privacy for Social Science Research (Gift from Google, Inc.) (8)
- Pseudorandomness and Applications (ONR Young Investigator Award; ONR Grant N00014-04-1-0478) (18)
- Pseudorandomness and Combinatorial Constructions (US-Israel Binational Science Foundation; BSF 2002246) (18)
- Pseudorandomness for Space-Bounded Computation and Cryptography (NSF CCF-1420938) (2)
- Radcliffe Institute Research Fellowship
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