Rafail Ostrovsky

Rafail Ostrovsky
Rafail Ostrovsky
Born	1963 (age 56–57)
Alma mater	MIT
	Scientific career
Fields	Algorithms and cryptography
Institutions	UCLA
Thesis	Software Protection and Simulation on Oblivious RAMs (1992)
Doctoral advisor	Silvio Micali
Doctoral students	Jonathan Katz;
Website	www.cs.ucla.edu/~rafail/

Rafail Ostrovsky is a distinguished professor of computer science and mathematics at UCLA and a well-known researcher in algorithms and cryptography.

Biography

Rafail Ostrovsky received his Ph.D. from MIT in 1992.

He is a member of the Editorial Board of Algorithmica , Editorial Board of Journal of Cryptology and Editorial and Advisory Board of the International Journal of Information and Computer Security .

Awards

2018 RSA Award for Excellence in Mathematics
2006 IBM Faculty Award
2006 and 2005 Xerox Innovation Group Award
2004 OKAWA Research Award; the 1993 Henry Taub Prize
1999, 2001, and 2002 best published work of the year at SAIC in computer science and mathematics.
1996 Bellcore prize for excellence in research

Publications

Some of Ostrovsky's contributions to computer science include:

1990 Introduced (with R. Venkatesan and M. Yung) the notion of interactive hashing proved essential for constructing statistical zero-knowledge proofs for NP based on any one-way function (see NOVY and ECCC TR06-075).
1991 Introduced (with M. Yung) the notion of mobile adversary (later renamed proactive security) (see survey of Goldwasser or over 400 citations in Google Scholar)
1992 Proved the existence of asymptotically optimal software protection scheme (later renamed searching on encrypted data) assuming the existence of Tamper-resistant Microprocessor
1993 Proved (with A. Wigderson) equivalence of one-way functions and zero-knowledge .
1996 Introduced (with R. Canetti, C. Dwork and M. Naor) the notion of deniable encryption .
1997 Invented (with E. Kushilevitz) the first single server private information retrieval protocol (see over 400 citations in Google Scholar).
1997 Showed (with E. Kushilevitz and Y. Rabani) (1+ε) poly-time and poly-size approximate-nearest neighbor search for high-dimensional data for L1-norm and Euclidean space (see over 320 citations in Google Scholar).

gollark: Oh, obviously you would use a GTech™ nondestructive neural scanning array and spin up an instance of yourself to evaluate each.

gollark: Do you not have arbitrarily fast computers?

gollark: Why would you need *that*?

gollark: Your #3 entry was very cool. Highly palaiologistic-looking.

gollark: Well, as they say, something something impostor syndrome?

External links

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