Junfeng Guo (国珺峰)

Research Associate
The University of Maryland at College Park, Maryland

Research Associate
University of Maryland, College Park
gjf2023 at umd dot edu

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Biography

I am a Research Associate at the University of Maryland, College Park working with Brendan Iribe Endowed Professor. Heng Huang. I conduct research at the intersection of Deep Learning, Computer Vision and Privacy & Security. My ongoing work focuses on making AI systems more practically usable and Predictablity.

I received my Ph.D for Computer Science at UTDallas, working with Dr.Cong Liu and Dr.Ang Li. I received my B.Sc.for Biomedical Engineering from the University of Electricity Science and Technology of China (UESTC).

Publication

2025

  • Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger PDF ] [ Bibtex ]
    Yiming Li, Mingyan Zhu, Junfeng Guo, Tao Wei, Shu-Tao Xia, Zhan Qin
    TDSC 2025.
  • SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models PDF ] [ Bibtex ]
    Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu
    CVPR 2025.
  • Audio Watermark: Dynamic and Harmless Watermark for Black-box Voice Dataset Copyright ProtectionPDF ] [ Bibtex ]
    Hanqing Guo, Junfeng Guo (Co-first Author), Heng Huang, Qiben Yan, Li Xiao
    USENIX Security 2025.
  • Pattern Mark: A Watermark for Order-Agnostic Language Models PDF ] [ Bibtex ]
    Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang
    ICLR 2025.
  • Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data PDF ] [ Bibtex ]
    Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar Vullikanti, Sheng Li
    ICLR 2025.
  • 2024

    • BBCaL: Black-box Backdoor Detection under the Causality LensPDF ] [ Bibtex ]
      Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li
      TMLR 2024.
    • ZeroMark: Towards Dataset Ownership Verification without the Verification Watermark DisclosurePDF ] [ Bibtex ]
      Junfeng Guo, George Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang
      NeurIPS 2024.
    • Training A Secure Model against Data-Free Model ExtractionPDF ] [ Bibtex ]
      Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu and Mingchen Gao
      ECCV 2024.
    • Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive PromptPDF ] [ Bibtex ]
      Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
      ECCV 2024.
    • Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data SelectionPDF ] [ Bibtex ]
      Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong,Chenxi Liu, Junfeng Guo, Heng Huang
      ACL 2024 (findings).
    • DiPMark: A Stealthy, Provable Robust Watermark for LLMPDF ] [ Bibtex ]
      Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang
      ICML 2024.
    • 2023

      • Domain Watermark: Effective and Harmless Dataset Copyright Verification is Closed at HandPDF ] [ Bibtex ]
        Junfeng Guo, George Li, Lixu Wang, Heng Huang, Cong Liu, Bo Li
        NeurIPS 2023.
      • PolicyCleanse: Detecting and Mitigating Trojan Attacks in Reinforcement LearningPDF ] [ Bibtex ]
        Junfeng Guo, Ang Li, Cong Liu
        ICCV 2023.
      • MasterKey: Practical Backdoor Attack Against Speaker Verification SystemsPDF ] [ Bibtex ]
        Hanqing Guo, Xun Chen, Junfeng Guo, Xiao Li, Qiben Yan
        MobiCom 2023.
      • Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face RecognitionPDF ] [ Bibtex ]
        Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu
        CVPR 2023.
      • SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction ConsistencyPDF ] [ Bibtex ]
        Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun and Cong Liu
        ICLR 2023.

      2022

      • AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value AnalysisPDF ] [ Bibtex ]
        Junfeng Guo, Ang Li and Cong Liu
        ICLR 2022.
      • Neural Mean Discrepancy for Efficient Out-of-Distribution DetectionPDF ] [ Bibtex ]
        Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H.T. Kung1
        CVPR 2022.

      2021

      • Adv-Makeup: A New Imperceptible and Transferable Attack on Face RecognitionPDF ] [ Bibtex ]
        Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li and Cong Liu
        IJCAI 2021.
      • PredCoin: Defense against Query-based Hard-label AttackPDF ] [ Bibtex ]
        Junfeng Guo, Yaswanth Yadlapalli, Thiele Lothar, Ang Li, Cong Liu
        Arxiv.

      2020

      • PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural NetworksPDF ] [ Bibtex ]
        Junfeng Guo, Cong Liu
        Arxiv.
      • LINTS: A Learning-driven Testbed for Intelligent Scheduling in Embedded SystemsPDF ] [ Bibtex ]
        Zelun Kong, Yaswanth Yadlapalli, Soroush Bateni, Junfeng Guo, Cong Liu
        Arxiv.
      • Deep Partial UpdatingPDF ] [ Bibtex ]
        Zhongnan Qu, Junfeng Guo, Cong Liu
        Arxiv.
      • Practical Poisoning Attack on Deep Neural NetworksPDF ] [ Bibtex ]
        Junfeng Guo, Cong Liu
        ECCV 2020.
      • PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous DrivingPDF ] [ bibtex ]
        Zelun Kong, Junfeng Guo, Ang Li, Cong Liu
        CVPR 2020.
      • DeepBillboard: Systematic Physical-World Testing of Autonomous Driving SystemsPDF ] [ Bibtex ]
        Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu
        ICSE 2020

Professional Service

  • Program Committee or Reviewer:
    • ACL HomeAssociation for Computational Linguistics (ACL)
    • Association for the Advancement of Artificial Intelligence (AAAI)
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • European Conference on Computer Vision (ECCV)
    • International Conference on Learning Representation (ICLR)
    • International Conference on Machine Learning (ICML)
    • Conference on Neural Information Processing Systems (NeurIPS)
    • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
    • IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI)
    • IEEE Transaction on Neural Network Learning System (TNNLS)