Junfeng Guo (国珺峰)

Publications

• Backdoor in Seconds: Unlocking Backdoor Vulnerabilities for Pre-trained Large Model via Model Editing

  Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li

  CIKM 2025
  PDF
• WWW.Risk.GPT: Preventing Unauthorized Real-Time Retrieval by Large Language Models

  Eason Zhu, Yizhu, Junfeng Guo, Heng Huang, Hanqing Guo, Judy Zhuang

  EMNLP 2025USENIX Security 2025 Poster
  PDF
• FedContinualNovel: Federated Continual Learning for Novel Class Discovery

  Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong

  ICCV 2025
  PDF
• A Watermark for Auto-Regressive Speech Recognition Model

  Yifan Wu, Ruibo Chen, Miles George, Junfeng Guo, Heng Huang

  InterSpeech 2025Oral
  PDF
• Improved Unbiased Watermark for LLM

  Ruibo Chen, Yifan Wu, Junfeng Guo, Heng Huang

  ACL 2025
  PDF
• Asymmetric Multi-linguistic Conflict for Machine Translation

  Zheng Tong, Yan Wen, Junfeng Guo, Heng Huang

  ACL Findings 2025
  PDF
• De-Mark: Detecting, Removing and Exploiting Watermark for LLMs

  Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

  ICML 2025
  PDF
• Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger

  Yiming Li, Mingyan Zhu, Junfeng Guo, Tao Wei, Shu-Tao Xia, Zhan Qin

  TDSC 2025
  PDF
• SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models

  Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu

  CVPR 2025
  PDF
• Audio Watermark: Dynamic and Harmless Watermark for Black-box Voice Dataset Copyright Protection

  Hanqing Guo, Junfeng Guo (Co-first), Heng Huang, Qiben Yan, Li Xiao

  USENIX Security 2025
  PDF
• Pattern Mark: A Watermark for Order-Agnostic Language Models

  Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang

  ICLR 2025
  PDF
• Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data

  Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar Vullikanti, Sheng Li

  ICLR 2025
  PDF

• BBCaL: Black-box Backdoor Detection under the Causality Lens

  Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li

  TMLR 2024
  PDF
• ZeroMark: Towards Dataset Ownership Verification without the Verification Watermark Disclosure

  Junfeng Guo, George Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang

  NeurIPS 2024
  PDF
• Training A Secure Model against Data-Free Model Extraction

  Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao

  ECCV 2024
  PDF
• Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt

  Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

  ECCV 2024
  PDF
• Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection

  Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang

  ACL 2024 Findings
  PDF
• DiPMark: A Stealthy, Provable Robust Watermark for LLM

  Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang

  ICML 2024
  PDF

• Domain Watermark: Effective and Harmless Dataset Copyright Verification is Closed at Hand

  Junfeng Guo, George Li, Lixu Wang, Heng Huang, Cong Liu, Bo Li

  NeurIPS 2023
  PDF
• PolicyCleanse: Detecting and Mitigating Trojan Attacks in Reinforcement Learning

  Junfeng Guo, Ang Li, Cong Liu

  ICCV 2023
  PDF
• MasterKey: Practical Backdoor Attack Against Speaker Verification Systems

  Hanqing Guo, Xun Chen, Junfeng Guo, Xiao Li, Qiben Yan

  MobiCom 2023
  PDF
• Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

  Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu

  CVPR 2023
  PDF
• SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency

  Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu

  ICLR 2023
  PDF

• AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis

  Junfeng Guo, Ang Li, Cong Liu

  ICLR 2022
  PDF
• Neural Mean Discrepancy for Efficient Out-of-Distribution Detection

  Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H.T. Kung

  CVPR 2022
  PDF

• Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

  Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu

  IJCAI 2021
  PDF

• Practical Poisoning Attack on Deep Neural Networks

  Junfeng Guo, Cong Liu

  ECCV 2020
  PDF
• PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving

  Zelun Kong, Junfeng Guo, Ang Li, Cong Liu

  CVPR 2020
  PDF
• DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems

  Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu

  ICSE 2020
  PDF