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Research Group

Xiao Zhang

My research covers topics such as adversarial machine learning, statistical machine learning and optimization. I am particularly interested in understanding the misbehavior of machine learning models against different adversaries and designing robust systems for various machine learning applications.

Head of Group

Xiao Zhang

Email

Address

Im Oberen Werk 1
66386 St. Ingbert (Germany)

Most Recent Publications

Year 2026

Conference / Medium

Conference on Uncertainty in Artificial Intelligence (UAI) How Learning Dynamics Drive Adversarially Robust Generalization?

Conference / Medium

Annual Meeting of the Association for Computational Linguistics (ACL) Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?

Article

Transactions on Machine Learning Research Diffusion-based Cumulative Adversarial Purification for Vision Language Models

Conference / Medium

ACM Cyber-Physical System Security Workshop (CPSS) FEVA-ICS: Benchmarking Adversarial Robustness of Machine Learning-based Intrusion Detection Systems in Industrial Control Systems

Conference / Medium

IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) Efficient Semi-Supervised Adversarial Training via Latent Clustering-Based Data Reduction