About the Authors
Amos Beimel received the B.A., M.Sc., and D.Sc. degrees in
Computer Science from the Technion -- Israel Institute of
Technology, Haifa, in 1989, 1992, and 1996, respectively. His
doctoral thesis was titled “Secure schemes for secret sharing
and key distribution”. After graduating from the Technion,
he spent one year as a Postdoctoral Fellow at the Center for
Discrete Mathematics and Computer Science (DIMACS) at Rutgers
University, and two years as a Postdoctoral Fellow at the Division
of Engineering and Applied Science at Harvard University. In 1999
he joined the Department of Computer Science at Ben-Gurion
University, where he is now a professor. In 2005-2006, he spent a
year as a visiting assistant professor at the University of
California, Davis. In 2012-14, he was the head of the department
of computer science at Ben-Gurion university. His research
interests include cryptography and complexity theory. He focuses on
secret sharing schemes, private information retrieval, secure
multiparty computation, and differential privacy. He published more
than 50 papers in journals and conferences, received grants from
the Israel Science Foundation, the Ministry of Science and
Technology, and the Ministry of Economy, and served on various
program committees of conferences.
Kobbi Nissim is a faculty member at the Department of Computer Science,
Ben-Gurion University. His research interests are in the
foundations of privacy and cryptography, and in particular, formal
notions of privacy, differential privacy, privacy-aware mechanism
design, private approximations, and secure multiparty computation.
He received his Ph.D. from the Weizmann Institute in
2001 where he studied under the direction of Moni Naor. In
2013, Nissim received, with Irit Dinur, the “Alberto
O. Mendelzon Test-of-Time” Award for their PODS 2003 paper
Revealing Information while Preserving Privacy.
In 2016, Nissim received, with Cynthia Dwork, Frank McSherry, and
Adam Smith the “TCC Test-of-Time” Award for their TCC
2006 paper Calibrating Noise to Sensitivity in Private Data
Analysis where differential privacy was introduced.
Uri Stemmer is a Ph.D. candidate at Ben-Gurion University,
advised by Amos Beimel and Kobbi Nissim. His research interests lie
in private data analysis and computational learning theory.