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Forschungsgruppe

Xiao Zhang

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

Gruppenleiter:in

Xiao Zhang

E-Mail

Adresse

Im Oberen Werk 1
66386 St. Ingbert (Germany)

Neueste Veröffentlichungen

Jahr 2026

Konferenz / Medium

Annual Meeting of the Association for Computational Linguistics (ACL)

Artikel

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

Konferenz / Medium

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

Konferenz / Medium

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

Jahr 2025

Konferenz / Medium

Conference on Neural Information Processing Systems (NeurIPS)
GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs