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 ist tenured Faculty am CISPA. Seine Forschung konzentriert sich auf Trustworthy Machine Learning (Privacy, Safety und Security). Außerdem arbeitet er an der Messung und dem Verständnis von Fehlinformationen und unsicheren Inhalten wie hasserfüllten Memes im Internet. Im Laufe der Jahre hat er zahlreiche Paper auf Spitzenkonferenzen in Informatik, einschließlich CCS, NDSS, Oakland und USENIX Security veröffentlicht. Seine Arbeit hat 2019 den NDSS Distinguished Paper Award und 2022 den CCS Best Paper Award Runner-up erhalten.
ACM Conference on Computer and Communications Security (CCS) BadTV: Unveiling Backdoor Threats in Third-Party Task Vectors
Usenix Security Symposium (USENIX-Security) Unveiling the Pitfalls of Data-Free Backdoor Detection Against Pre-Trained Models
European Conference on Computer Vision (ECCV) GEO-Detective: Unveiling Location Privacy Risks in Images with LLM Agents
Annual Meeting of the Association for Computational Linguistics (ACL) Reward Yourself: Efficient Self Rewards for Trustworthy Sampling
Annual Meeting of the Association for Computational Linguistics (ACL) PeerCheck: Enhancing LLM-Generated Academic Reviews Towards Human-Level Quality
Annual Meeting of the Association for Computational Linguistics (ACL) Peering Behind the Shield: Guardrail Identification in Large Language Models
International Conference on Machine Learning (ICML) Position: Preparing for AI Systems That Deceive Developers
Annual Meeting of the Association for Computational Linguistics (ACL) Open Schrödinger’s Closed Box: Identifying Retrieval Augmented Generation in API-Accessible Large Language Model Services
Annual Meeting of the Association for Computational Linguistics (ACL)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm