Publications

Conference Papers

2025

CertPHash: Towards Certified Perceptual Hashing via Robust Training
Yuchen Yang, Qichang Liu, Christopher Brix, Huan Zhang, Yinzhi Cao
To appear in the Proceedings of the USENIX Security Symposium, 2025
paper | code

2024

Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models
Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo
In the Proceedings of European Conference on Computer Vision (ECCV), 2024
paper | code

SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models
Xinfeng Li*, Yuchen Yang*, Jiangyi Deng*, Chen Yan, Yanjiao Chen, Xiaoyu Ji, Wenyuan Xu
In the Proceedings of The ACM Conference on Computer and Communications Security (CCS), 2024
(* Co-first Authors)
paper | code

Ripplecot: Amplifying ripple effect of knowledge editing in language models via chain-of-thought in-context learning
Zihao Zhao, Yuchen Yang, Yijiang Li, Yinzhi Cao
In the Findings of Empirical Methods in Natural Language Processing (EMNLP), 2024
The first author finished the paper mainly under my mentoring.
paper | code

SneakyPrompt: Jailbreaking Text-to-image Generative Models
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao
In the Proceedings of the IEEE Symposium on Security and Privacy (S&P), 2024
Reported by MIT Technology Review and IEEE Spectrum.
Listed among Normalized Top-100 Security Papers.
paper | slides | code

2023

PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation
Yuchen Yang*, Bo Hui*, Haolin Yuan*, Neil Gong, Yinzhi Cao
In the Proceedings of USENIX Security Symposium, 2023
Artifact Badges: Artifacts Available, Artifacts Functional, Results Reproduced.
(* Co-first Authors)
paper | code

Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation
Yuchen Yang, Haolin Yuan, Bo Hui, Neil Gong, Yinzhi Cao
In the Proceedings of IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) 2023
paper | code

2022

Addressing Heterogeneity in Federated Learning via Distributional Transformation
Haolin Yuan*, Bo Hui*, Yuchen Yang*, Philippe Burlina, Neil Gong, Yinzhi Cao
In the Proceedings of European Conference on Computer Vision (ECCV), 2022
(* Co-first Authors)
paper | code

2021

Practical Blind Membership Inference Attack via Differential Comparisons
Bo Hui*, Yuchen Yang*, Haolin Yuan*, Philippe Burlina, Neil Gong, Yinzhi Cao
In the Proceedings of Network & Distributed System Security Symposium (NDSS), 2021
(* Co-first Authors)
paper | slides | code

Preprints

Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
Zhengyuan Jiang, Yuepeng Hu, Yuchen Yang, Yinzhi Cao, Neil Zhenqiang Gong
paper | code (coming soon)

Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning
Zihao Zhao, Yijiang Li, Yuchen Yang, Wenqing Zhang, Nuno Vasconcelos, Yinzhi Cao
paper | code (coming soon)