Faculty
2022: Busy Beaver Award for "Privacy of Machine Learning"
2019: Best paper award at NDSS
Dr. YAng Zhang is Faculty 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 Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Symposium on Security and Privacy (S&P)
Usenix Security Symposium (USENIX-Security)
IEEE Transactions on Dependable and Secure Computing
Usenix Security Symposium (USENIX-Security)
National Conference of the American Association for Artificial Intelligence (AAAI)
International Conference on Learning Representations (ICLR)
International Conference on Learning Representations (ICLR)
Network and Distributed System Security Symposium (NDSS)
ACM Conference on Computer and Communications Security (CCS)