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CIS Seminar: “Encrypted Computation”
January 11 at 1:00 PM - 2:15 PM
Can we use cryptography to protect data while simultaneously enabling computation over it? Such cryptosystems have the potential to enable all of the amazing benefits of cloud computing without forcing users to give up control over their private data. The breakthrough development of fully homomorphic encryption (FHE) took the first step in this direction by showing how to perform arbitrary computations over encrypted data, without revealing anything about the data itself. In this talk, I will survey some of my work that goes beyond FHE to enable computation over cryptographically protected data in many other scenarios. We will discuss Fully Homomorphic Signatures, Multi-Key FHE, Laconic Function Evaluation, and Program Obfuscation.
Associate Professor: Khoury College of Computer Science, Northeastern University
Daniel Wichs is an associate professor at the Khoury College of Computer Science at Northeastern University, where he has been a faculty member since 2013. He received his PhD from NYU in 2011, advised by Yevgeniy Dodis, and was a postdoctoral researcher at IBM T.J. Watson. He is the recipient of the Alfred P. Sloan Foundation Research Fellowship, the NSF CAREER Award, the IBM Josef Raviv Memorial Postdoctoral Fellowship, and the NYU Janet Fabri Prize for Outstanding Dissertation in Computer Science. His research interests lie broadly in the area of cryptography, including its theoretical foundations and its applications to information security. He has over 85 publications, mainly at top-tier venues such as CRYPTO, EUROCRYPT, STOC, FOCS, with over 7,300 citations and an H-index of 43.