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.
European Conference on Artificial Intelligence (ECAI)
Proceedings on Privacy Enhancing Technologies
Usenix Security Symposium (USENIX-Security)
Advanced Science
ACM ASIA Conference on Computer and Communications Security (AsiaCCS)
IEEE Symposium on Security and Privacy Workshops (SPW)
International Conference on Acoustics Speech and Signal Processing (ICASSP)
Usenix Security Symposium (USENIX-Security)
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Annual Computer Security Applications Conference (ACSAC)