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.
ACM Conference on Computer and Communications Security (CCS) DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models
IEEE Symposium on Security and Privacy (S&P) Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Usenix Security Symposium (USENIX-Security) FACE-AUDITOR: Data Auditing in Facial Recognition Systems.
Usenix Security Symposium (USENIX-Security)
Usenix Security Symposium (USENIX-Security) PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model
International Conference on Machine Learning (ICML) Generated Graph Detection.
Annual Meeting of the Association for Computational Linguistics (ACL) NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
IEEE Symposium on Security and Privacy (S&P)
Usenix Security Symposium (USENIX-Security) Two-in-One: A Model Hijacking Attack Against Text Generation Models