
Amit Sahai
· Professor/Vice Chair of Academic AdvancementUniversity of California, Los Angeles · Computer Science
Active 1996–2026
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About
Amit Sahai is a professor of computer science at the UCLA Samueli School of Engineering and the director of the Center for Encrypted Functionalities, a National Science Foundation Frontiers Center. His research interests are in the foundations of computer security and cryptography, with particular focus on hiding secrets in software, secure program obfuscation, cryptographic proofs, and secure multiparty computation. Sahai is a co-inventor of attribute-based encryption, functional encryption, and indistinguishability obfuscation. He holds the Symantec Endowed Chair in Computer Science and has been recognized as a Simons Investigator and Fellow of the Royal Society of Arts, ACM, and IACR. Prior to UCLA, he was on the faculty at Princeton University, and he earned his Ph.D. from MIT in 2000. Sahai has published over 150 technical research papers and serves as an editor for the Journal of Cryptology. His work has been widely covered in the media, and he has received numerous awards for his contributions to cryptography and computer security.
Research topics
- Computer Science
- Computer Security
- Programming language
- Artificial Intelligence
- Theoretical computer science
- Mathematics
- Discrete mathematics
- Operating system
- Algorithm
Selected publications
Indistinguishability obfuscation from well-founded assumptions
2021 · 220 citations
Senior authorCorrespondingIndistinguishability obfuscation, introduced by [Barak et. al. Crypto 2001], aims to compile programs into unintelligible ones while preserving functionality. It is a fascinating and powerful object that has been shown to enable a host of new cryptographic goals and beyond. However, constructions of indistinguishability obfuscation have remained elusive, with all other proposals relying on heuristics or newly conjectured hardness assumptions. In this work, we show how to construct indistinguisha…
Indistinguishability Obfuscation from LPN over $$\mathbb {F}_p$$, DLIN, and PRGs in NC$$^0$$
Lecture notes in computer science · 2022 · 92 citations
Senior authorCorrespondingLecture notes in computer science · 2020 · 34 citations
Senior authorCorrespondingIndistinguishability Obfuscation from Well-Founded Assumptions
Journal of the ACM · 2025-12-12 · 20 citations
preprintOpen accessSenior authorIndistinguishability obfuscation, introduced by [Barak et. al. Crypto’2001], aims to compile programs into unintelligible ones while preserving functionality. It is a fascinating and powerful object that has been shown to enable a host of new cryptographic goals and beyond. However, constructions of indistinguishability obfuscation have remained elusive, with all other proposals relying on heuristics or newly conjectured hardness assumptions. In this work, we show how to construct indistinguisha…
Indistinguishability Obfuscation from Well-Founded Assumptions
Communications of the ACM · 2024-02-22 · 8 citations
articleOpen accessSenior authorAt least since the initial public proposal of public-key cryptography based on computational hardness conjectures, cryptographers have contemplated the possibility of a "one-way compiler" that translates computer programs into "incomprehensible" but equivalent forms. And yet, the search for such a "one-way compiler" remained elusive for decades. We examine a formalization of this concept with the notion of indistinguishability obfuscation (iO) . Roughly speaking, iO requires that the compiled ve…
Recent grants
ITR: New Directions in Software Security
NSF · $374k · 2004–2008
TC: Small: New Directions in Encryption
NSF · $495k · 2011–2015
CT-ISG: New Directions in Cryptographic Proof Systems
NSF · $350k · 2006–2010
Frequent coauthors
- 72 shared
Yuval Ishai
- 61 shared
Brent Waters
- 50 shared
Aayush Jain
- 48 shared
Vipul Goyal
Regional Cancer Center, Thiruvananthapuram
- 44 shared
Rafail Ostrovsky
- 39 shared
Manoj Prabhakaran
Dhanalakshmi Srinivasan Group of Institutions
- 37 shared
Dakshita Khurana
- 31 shared
Abhishek Jain
Johns Hopkins University
Education
- 2000
Ph.D., Computer Science
Massachusetts Institute of Technology (MIT)
B.S.
Princeton University
Awards & honors
- Simons Investigator Award (2021)
- Fellow of the Royal Society of Arts (2021)
- Fellow of the ACM (2018)
- Fellow of the IACR (2019)
- Alfred P. Sloan Foundation Research Fellow (2002)
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