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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

Annual Meeting of the Association for Computational Linguistics (ACL)
Reward Yourself: Efficient Self Rewards for Trustworthy Sampling

Conference / Medium

Annual Meeting of the Association for Computational Linguistics (ACL)
Open Schrödinger’s Closed Box: Identifying Retrieval Augmented Generation in API-Accessible Large Language Model Services

Conference / Medium

Annual Meeting of the Association for Computational Linguistics (ACL)

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

Article

IEEE Transactions on Information Forensics and Security BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning