Faculty
2025: AI 2000 Most Influential Scholar Award Honorable Mention 2025
2025: Best Machine Learning and Security Paper in Cybersecurity Award 2025
2022: Busy Beaver Award für "Privacy of Machine Learning"
2021: Busy Beaver teaching award for seminar “Privacy of Machine Learning” at Saarland University (2021 Winter)
2019: Best paper award at NDSS
Dr. Yang Zhang is tenured faculty member at CISPA. His research concentrates on trustworthy machine learning (privacy, safety, and security). Moreover, he works on measuring and understanding misinformation and unsafe content like hateful memes on the Internet. Over the years, he has published multiple papers at top venues in computer science, including CCS, NDSS, Oakland, and USENIX Security. His work has received the NDSS 2019 distinguished paper award and the CCS 2022 best paper award runner-up.
Usenix Security Symposium (USENIX-Security) Enhanced Label-Only Membership Inference Attacks with Fewer Queries
Usenix Security Symposium (USENIX-Security) From Meme to Threat: On the Hateful Meme Understanding and Induced Hateful Content Generation in Open-Source Vision Language
Usenix Security Symposium (USENIX-Security) Data-Free Model-Related Attacks: Unleashing the Potential of Generative AI
Usenix Security Symposium (USENIX-Security) Membership Inference Attacks Against Vision-Language Models
ACM International Conference on Knowledge Discovery and Data Mining (KDD) On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
Annual Meeting of the Association for Computational Linguistics (ACL) When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs
Annual Meeting of the Association for Computational Linguistics (ACL) JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
International Conference on Machine Learning (ICML) The Ripple Effect: On Unforeseen Complications of Backdoor Attacks
Privacy Enhancing Technologies Symposium (PETS) White-box Membership Inference Attacks against Diffusion Models
IEEE International Conference on Multimedia and Expo (ICME) Neeko: Model Hijacking Attacks Against Generative Adversarial Networks