Faculty
Xiao Zhang is a tenure-track faculty at CISPA Helmholtz Center for Information Security. His research covers topics such as adversarial machine learning, statistical machine learning and optimization. He is particularly intersted in understanding the misbehavior of machine learning models against different adversaries and designing robust systems for various machine learning applications. He received his Ph.D. degree in computer science from University of Virginia, advised by Prof. David Evans in 2022. Prior to that, he obtained his M.S. degree from Department of Statistics at University of Virginia and obtained his B.S. degree in Mathematics from Tsinghua University. He is also a member of the European Laboratory for Learning and Intelligent Systems (ELLIS).
IEEE International Conference on Computer Vision (ICCV)
ACM Conference on Computer and Communications Security (CCS)
Workshop for Research on Agent Language Models at the 63rd Annual Meeting of the Association for Computational Linguistics (ACL)
International Conference on Machine Learning (ICML)
ICLR-Workshop (ICLRW)
Transactions on Machine Learning Research (TMLR)
Transactions on Machine Learning Research (TMLR)
NeurIPS-Workshop (NeurIPS-W)
ICML-Workshop (ICMLW)
ICML-Workshop (ICML-W)