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.
Conference on Empirical Methods in Natural Language Processing (EMNLP)
Conference on Empirical Methods in Natural Language Processing (EMNLP)
European Conference on Artificial Intelligence (ECAI)
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)
Proceedings on Privacy Enhancing Technologies
Conference on Empirical Methods in Natural Language Processing (EMNLP)
Usenix Security Symposium (USENIX-Security)