Junfeng Guo

PHD Candidate
The University of Texas at Dallas, Texas

Research Assistant
University of Texas, Dallas
jxg170016 at utdallas.edu

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Target Positions!

If you have any openings Research Internship Opportunities related to Deep Learning, Security, Data Mining and Computer Vision, I'd love to get in contact.

Biography

I am a third year PHD student as well as a research assistant at the University of Texas, Dallas working with Dr.Cong Liu and Dr.Ang Li. 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 through improving their Security Assurance, Privacy Preservation and Predictablity.

I received my B.Sc.for Biomedical Engineering from the University of Electricity Science and Technology of China (UESTC) in 2018.

Publication

2022

  • Backdoor detection in reinforcement learningPDF ] [ Bibtex ]
    Junfeng Guo, Ang Li and Cong Liu
    Arxiv.
  • 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) 2021
    • Association for the Advancement of Artificial Intelligence (AAAI) 2021
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • European Conference on Computer Vision (ECCV)
    • International Conference on Machine Learning (ICML)
    • NeurIPS