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.
IEEE Transactions on Dependable and Secure Computing VeriTrain: Validating MLaaS Training Efforts via Anomaly Detection
Usenix Security Symposium (USENIX-Security) A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots
National Conference of the American Association for Artificial Intelligence (AAAI)
International Conference on Learning Representations (ICLR) Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
International Conference on Learning Representations (ICLR) Data Poisoning Attacks Against Multimodal Encoders
Network and Distributed System Security Symposium (NDSS) Backdoor Attacks Against Dataset Distillation
ACM Conference on Computer and Communications Security (CCS)
ACM Conference on Computer and Communications Security (CCS)
ACM Conference on Computer and Communications Security (CCS)
ACM Conference on Computer and Communications Security (CCS)