Talk: Advanced Cryptography
Rishab Goyal: Postdoc, Cryptography and Information Security, MIT Computer Science and AI Laboratory
Abstract: Rapid scientific innovations have exposed the growing tension between functionality and security in emerging technologies. This is further exacerbated by the looming threat of quantum computers. The goal of advanced cryptography is to build secure systems that simultaneously address these concerns while equally prioritizing efficiency. In my research, I develop provably-secure advanced cryptographic systems by relying on the hardness of well-studied mathematical problems related to integer lattices, number theory, noisy parity learning, and more.
In this talk, I will describe some of the advanced systems that I have designed which include traceable encryption, program obfuscation, aggregate signatures, decentralized proof systems, and multi-user encryption systems. The focus of the talk will be on my work in building advanced encryption systems that solved the 25-year-old open problem of traitor tracing. Traitor tracing has great practical impact in protecting from insider corruption and providing accountability alongside privacy in a wide array of applications. It has connections to many other areas such as differential privacy, software watermarking and leasing, and quantum copy protection. I will also introduce new techniques in lattice-based cryptography which have been instrumental for proving post-quantum security of such advanced encryption systems.
Finally, I will speak about the impact advanced cryptography will have in influencing public policy, and how it provides science as a tool for legislators to protect society from all kinds of emerging threats.
Bio: Rishab Goyal is a postdoctoral researcher in the Cryptography and Information Security group at the MIT Computer Science and AI Laboratory. His primary interests are cryptography and computer security, with a special focus on developing provably-secure systems with advanced cryptographic capabilities and post-quantum security. Prior to MIT, he was an Apple Research Fellow at the Simons Institute for the Theory of Computing. He received his Ph.D. from UT Austin, advised by Brent Waters, and B.Tech. from IIT Delhi. His Ph.D. was supported by the IBM Ph.D. Fellowship and the Graduate Dean's Prestigious Fellowship at UT Austin. And, his doctoral dissertation on building traitor tracing systems was awarded the Bert Kay Dissertation Award for best doctoral thesis at UT Austin.