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Research Group

Yang Zhang

Machine Learning and Data Privacy

Our group conducts research in the intersection of machine learning and data privacy. On the one hand, we use machine learning models to assess and mitigate the privacy risks stemming from various kinds of data, such as social network data and biomedical data. On the other hand, we investigate the privacy risks of machine learning models.

Head of Group

Yang Zhang

Email

Address

Im Oberen Werk 1
66386 St. Ingbert (Germany)

Most Recent Publications

Year 2026

Conference / Medium

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm

Conference / Medium

European Association for Computational Linguistics (EACL)
Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models

Article

IEEE Transactions on Dependable and Secure Computing Backdoor Complications: A Comprehensive Analysis and Mitigation of the Unforeseen Consequences of Backdoor Attacks

Conference / Medium

National Conference of the American Association for Artificial Intelligence (AAAI)
SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability

Year 2025

Conference / Medium

Conference on Neural Information Processing Systems (NeurIPS)
Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency