计算机软件新技术国家重点实验室
摘 要：
Secure
multi-party computation refers to the ability of multiple participants to
jointly evaluate a function of their choice on their respective private data
without disclosing any unintended information about it. This field of research
has experienced notable advances in recent years, in terms of both the speed
these techniques provide and the availability of tools and compilers that aid
programmers in synthesizing secure distributed implementations for their
desired functionality. Most recently, there has been a lot of interest in
scalable privacy-preserving machine learning, where we desire to train a
machine learning model on private data distributed across multiple sites or
evaluate a private model on a private input without disclosing private data. As
part of this talk, we will touch on the recent progress in secure computation
and then look at operations of interest for privacy-preserving machine
learning. We will discuss optimizations to the state of the art in the secret
sharing setting on the example of reading an element at a private location.
报告人简介:
Marina
Blanton is an Associate Professor in the Department of Computer Science and
Engineering at the University at Buffalo. She received her MS in EECS from Ohio
University in 2002, MS in CS from Purdue University in 2004, and PhD in CS from
Purdue University in 2007. Dr. Blanton's research interests are centrally in
information security, privacy, and applied cryptography. Recent projects span
areas such as secure computation and outsourcing, integrity of outsourced
computation and storage, and private biometric and genomic computation. Dr.
Blanton has 70 refereed publications and has served on technical program
committees of top conferences such as ACM CCS and IEEE S&P and is currently
an associate editor of IEEE Transactions on Information Forensics and Security.
She received multiple awards for her research including a 2013 AFOSR Young
Investigator Award, the 2015 ACM CCS Test of Time Award, and a 2018 Google
Faculty Research Award.
时间:12月8日(星期日）10:30-11:30
地点:鼓楼校区计算中心楼303会议室
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