Engineering Secure Computation -- Efficiently
Yan Huang - Indiana University
Apr 15, 2015Size: 107.4MB
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AbstractSecure Multiparty Computation offers cryptographically strong guarantees on the secrecy of data used in collaborative computing among untrusted parties. It has many important applications ranging from peer-to-peer secure auction to privacy-preserving data mining. In this talk, I will present my experience in building efficient secure computation protocols. I will also share my vision on how to blend modern cryptography and programming languages research to solve interesting cyber-security problems.
About the SpeakerDr. Yan Huang is an assistant professor at Indiana University. Dr. Huang is interested in developing secure protocols, with applications in private collaborative data mining, secure cloud computing, and cyber-physical systems. His research combines techniques from systems, cryptography, and programming languages to build secure systems. He is the creator of FastGC and ObliVM, the leading software tools to build efficient secure computation applications. The tools are freely available and have been used in several research projects by both academia and industry labs world-wide.
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