I am a fifth-year Ph.D. student in Department of Computer Science at University of Virginia, advised by Prof. David Evans. Previously, I worked with Prof. Quanquan Gu. I received my M.S. degree from Department of Statistics at University of Virginia and my B.S. degree in Mathematics at Tsinghua University. My research interests cover a variety of topics in machine learning and security, including adversarial machine learning, statistical machine learning, deep learning and convex/non-convex optimization. Here is my latest CV.
I will join CISPA Helmholtz Center for Information Security as a Tenure-Tracked Faculty in Fall 2022.PhD in Computer Science, Aug. 2017 - present
University of Virginia
MS in Statistics, Aug. 2015 - May 2017
University of Virginia
BS in Mathematics, Sep. 2011 - Jul. 2015
Tsinghua University
Built upon on a novel definition of label uncertainty, we develop an empirical method to estimate a more realistic intirnsic robustness limit for classification tasks
We develop a method to measure the concentration of image benchmarks using empirical samples and show that concentration of measure does not prohibit the existence of adversarially robust classifiers.
We propose a notion of cost-sensitive robustness for measuring classifier’s performance when adversarial transformations are not equally important, and provide a certified robust training method to optimize for it.
Department of Computer Science