[CSEE Talk] talk: Efficient Secure Multi-party Computing, 1pm Mon. 2/24, ITE325, UMBC

[Tim Finin]

              Computer Science and Electrical Engineering
                University of Maryland, Baltimore County

      Efficient Secure Multi-party Computing and Its Applications

                             Dr. Yan Huang
                  University of Maryland, College Park

          1:00-2:00pm Monday, 24 February 2014, ITE 325b, UMBC

Secure 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 making secure computation
practical. I will also share my vision on how to blend modern
cryptography, programming languages, and artificial intelligence
research to solve interesting cybersecurity problems.


Dr. Yan Huang is a research associate at the University of Maryland
and the Maryland Cybersecurity Center. 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, a practical secure computation software framework, which
has been downloaded more than 500 times and used in several research
projects by both academia and industry labs world-wide. Dr. Huang
graduated from University of Virginia with a Ph.D in Computer Science
in 2012.

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