YUCHEN ≡

Publications

Underlined authors are students under my supervision; * indicates equal contribution.

Conference Papers

2026

  • HijackKV: New Threat in Position-Independent KV Cache Reuse
    Yichi Zhang, Zhiqi Wang, Huan Zhang, Yuchen Yang
    To appear in the Proceedings of the USENIX Security Symposium, 2026
    Acceptance Rate: 12.6%
    paper (comming soon) | code (comming soon)
  • Rethinking Forgery Attacks on Semantic Watermarks in Black-Box Settings: A Geometric Distortion Perspective
    Cheng-Yi Lee, Yichi Zhang, Yuchen Yang, Chun-Shien Lu, Jun-Cheng Chen
    To appear in the Proceedings of the International Conference on Machine Learning (ICML), 2026
    paper (comming soon) | code (comming soon)
  • Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
    Zhengyuan Jiang, Yuepeng Hu, Yuchen Yang, Yinzhi Cao, Neil Zhenqiang Gong
    In the Findings of European Chapter of the Association for Computational Linguistics (EACL), 2026
    paper | code

    • 2025

  • CertPHash: Towards Certified Perceptual Hashing via Robust Training
    Yuchen Yang, Qichang Liu, Christopher Brix, Huan Zhang, Yinzhi Cao
    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
    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.
    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
    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
    paper | slides | code

    • Preprints

  • 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)