Jindong Gu

Senior Research Fellow, University of Oxford

Faculty Researcher, Google Research

I am a Senior Research Fellow at University of Oxford, a member of Torr Vision Group.   I also work in Google as a part-time faculty researcher to advise Responsible ML team. Prior to that, I received my Ph.D. Degree from University of Munich in 2022, advised by Prof. Volker Tresp.

My research goal is to build Responsible AI. Specifically, I am interested in the interpretability, robustness, privacy, and safety of

  • Visual Perception,
  • Foundation Model-based Understanding and Reasoning,
  • Robotic Policy and Planning,
  • and their Fusion towards General Intelligence Systems.

[Hiring!] If you like to work together with me as Ph.D. student, visiting student, or intern in the area of Responsible AI, please drop me an email (jindong DOT gu AT outlook DOT com).


News

  • 02 / 2024:   Three papers on AI safety are accepted in CVPR2024.
  • 01 / 2024:   One Journal paper on Efficient Adversarial Training is accepted to TIFS.
  • 01 / 2024:   Three papers on AI safety (two Spotlight) are accepted in ICLR2024.
  • 01 / 2024:   One Journal paper on AI safety is accepted to TIFS.
  • 12 / 2023:   Three papers on AI safety and robustness are accepted in AAAI2024.
  • 11 / 2023:   I started a part-time Faculty Scientist position in Responsible ML team of Google Research.
  • 10 / 2023:   I was promoted to Senior Research Fellow at University of Oxford.
  • 09 / 2023:   One paper is accepted to BMVC 2023 and One Benchmark paper to NeurIPS 2023.
  • 07 / 2023:   Three papers on VLM Understanding and Robustness are accepted to ICCV 2023.
  • 05 / 2023:   Selected as CVPR 2023 Outstanding Reviewer.
  • 05 / 2023:   One paper has been accepted to ACL Findings 2023.
  • 02 / 2023:   One paper has been accepted to CVPR 2023.
  • 11 / 2022:   I join Torr Vision Group as Postdoctoral Researcher at University of Oxford.
  • 08 / 2022:   I join Google Responsible ML Team as a Research Intern.
  • 07 / 2022:   Four papers on Robustness of Vision Systems are accepted to ECCV 2022.
  • 04 / 2021:   I join Microsoft Research Asia as a Research Intern.
  • 03 / 2021:   One paper has been accepted as oral to CVPR 2021.
  • 01 / 2021:   One paper has been accepted to ICLR 2021.

Experience

  • 11 / 2023 - present:   Faculty Scientist at Google, New York, USA
  • 10 / 2023 - present:   Senior Researcher at University of Oxford, Oxford, UK
  • 11 / 2022 - 09 / 2023:   Postdoctoral Researcher at University of Oxford, Oxford, UK
  • 08 / 2022 - 11 / 2022:   Research Intern at Google, New York, USA
  • 04 / 2021 - 02 / 2022:   Research Intern at Microsoft Research Asia, Beijing, China
  • 08 / 2020 - 03 / 2021:   Research Intern at Tencent AI Lab, Shenzhen, China
  • 09 / 2017 - 08 / 2020:   Doctoral Researcher at Siemens Technology, Munich, Germany

Selected Publications

Full Publication List

    • Responsible Generative AI: What to Generate and What Not [PDF]
      Jindong Gu
      Under Review, 2024
    • Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation [PDF][CODE]
      Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
    • An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models [PDF][CODE]
      Haochen Luo*, Jindong Gu*, Fengyuan Liu, Philip Torr
      International Conference on Learning Representations (ICLR) , 2024
    • Are Vision Transformers robust to Patch-wise Perturbation? [PDF][CODE]
      Jindong Gu, Volker Tresp, Yao Qin
      European Conference on Computer Vision (ECCV) , 2022
    • SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness [PDF]
      Jindong Gu, Hengshuang Zhao, Volker Tresp, Phillip Torr
      European Conference on Computer Vision (ECCV) , 2022
Great Honor to be in this Academic Family Tree [PDF] and [Link], which includes three Nobel prize winners!