Craig Gentry (b. /73) is an American computer scientist. He is best known for his work in cryptography, specifically fully homomorphic encryption. In Fully Homomorphic Encryption Using Ideal Lattices. Craig Gentry. Stanford University and IBM Watson [email protected] ABSTRACT. List of computer science publications by Craig Gentry. (Leveled) fully homomorphic encryption without bootstrapping. ITCS [c43]. view.

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Wireless Personal Communications 29 Structure and Randomness in Encrypted Computation. Unlike commonly-used cryptosystems like RSA and elliptic-curve cryptography, lattice-based cryptosystems cannot feasibly as far as we know be broken by quantum computers.

Security Protocols Workshop Computing on the Edge of Chaos: IEEE Symposium on Security and Privacy for the “Pinocchio” workEurocrypt for the cryptographic multilinear maps workCrypto for work in lattice-based cryptography encryltion, and FOCS for an identity-based encryption scheme.

Better Bootstrapping in Fully Homomorphic Encryption. Public Key Cryptography 2 InCraig with Shai and Sanjam Garg, then a postdoc at IBM also constructed the first cryptographic multilinear map scheme, a cryptographic tool that is in some ways even more powerful than FHE. Cryptanalyzing multilinear maps without encodings of zero. Password authenticated key exchange using hidden smooth subgroups.

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JutlaMariana RaykovaDaniel Wichs: Craig GentryDaniel Wichs: JutlaMariana Raykova: Craig GentryCharanjit S.

Fully Homomorphic Encryption without Bootstrapping. He also has a law degree from Harvard Law School. MacKenzieZulfikar Ramzan: Fully homomorphic encryption using ideal lattices. Secure Distributed Human Computation.

Craig Gentry’s PhD Thesis

Leveled fully homomorphic encryption without bootstrapping. Adaptive Security in Broadcast Encryption Systems. Craig GentryAllison B.

Craig GentryBrent Waters: LewkoBrent Waters: InCraig constructed the first fully homomorphic encryption FHE scheme, which allows data to be processed in arbitrarily complex ways while it remains encrypted, solving a major open problem that had been unsolved for 30 years.

Encrypted Messages from the Heights of Cryptomania.

Craig Gentry (computer scientist) – Wikipedia

cragi Unlike FHE, cryptographic multilinear maps and cryptographic program obfuscation are currently too slow to be feasibly implemented and their in security is not well-understood; this remains an active area of theoretical research.

Nearly Practical Verifiable Computation. Separating succinct non-interactive arguments from all falsifiable assumptions. Craig GentryKenny A.


Fully Homomorphic Encryption with Polylog Overhead. Homomorphic Encryption from Learning with Errors: Fully Homomorphic Encryption over the Integers. Journal of Computer Security 21 5: Craig GentryShai Halevi: Computing arbitrary functions of encrypted data.

Witness Encryption and its Applications. The LLL Algorithm The NSA cited this as a reason to begin transitioning to lattice-based cryptosystems, or to other “post-quantum” cryptosystems. LewkoAmit SahaiBrent Waters: Outsourcing Computation to Untrusted Workers. Computing on Encrypted Data.

Craig Gentry (computer scientist)

The Case of Logistic Regression. Hiding secrets in software: FHE allows data processing to be outsourced e. Computing on the edge of chaos: