Xiao Zhang
Faculty at CISPA Helmholtz Center for Information Security
Saarbrücken, Saarland, Germany
Summary
👤
Senior🎓
Top SchoolXiao Zhang is a tenure-track faculty member at CISPA Helmholtz Center for Information Security with eight years of experience researching the intersection of machine learning and security. Her work spans trustworthy and adversarial machine learning, statistical learning, and optimization, grounded in a PhD in Computer Science and an MS in Statistics from the University of Virginia. Prior to CISPA she developed provable optimization methods and studied failure modes of ML systems as a long-term graduate researcher, including an industry internship at Bosch on meta-learning for adversarial robustness. Based in Saarbrücken, she combines rigorous theoretical foundations with applied security concerns to build more reliable ML systems. Colleagues know her for bridging deep mathematical training with practical robustness evaluations, often turning analytic insights into defensible model designs.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Statistics, 3.93, Master of Science - MS, Statistics, 3.93 at University of VirginiaBachelor of Science - BSc, Mathematics, Bachelor of Science - BSc, Mathematics at Tsinghua UniversityHong Kong University of Science and Technology (HKUST)
Github Skills (10)
optuna7
classifier7
pattern-recognition6
robustness5
machine-learning4
generative4
fairness-ml4
deep-learning2
python1
caffe1
Programming languages (1)
Github contributions (5)
xiaozhanguva/starter-academic
Jun 2021 - Nov 2024
Contributions:83 pushes, 1 branch in 3 years 6 months
xiaozhanguva/Cost-Sensitive-Robustness
Oct 2018 - May 2019
A general method for training cost-sensitive robust classifier
Contributions:6 commits, 2 PRs, 7 pushes in 7 months
fairness-mlclassifierrobustnessmethodmachine-learning
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