Hongbin Liu
{first_name}.{last_name}@duke.edu

Hi! I am a Ph.D. student at Duke University, where I am fortunate to be supervised by Prof. Neil Gong. My research focuses on AI safety and privacy. Priorly, I earned a B.Eng. from the University of Science and Technology of China in 2020. I worked with Prof. Tong Zhang at HKUST in Summer 2019.

2024

• Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models
  Hongbin Liu, Michael K Reiter, Neil Zhenqiang Gong.
  USENIX Security Symposium, 2024.


• Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning
  Hongbin Liu*, Wenjie Qu*, Jinyuan Jia, Neil Zhenqiang Gong.
  Security Architectures for Generative Artificial Intelligence (SAGAI) @ IEEE Symposium on Security and Privacy, 2024.


• CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
  Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.


• 10 Security and Privacy Problems in Large Foundation Models
  Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong.
  Book Chapter @ AI Embedded Assurance for Cyber Systems , 2024.

2023

• Generation-based fuzzing? Don’t build a new generator, reuse!
  Chengbin Pang, Hongbin Liu, Yifan Wang, Neil Zhenqiang Gong, Bing Mao, and Jun Xu.
  Computers & Security, 2023


• PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees
  Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, and Neil Zhenqiang Gong.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

2022

• PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning
  Hongbin Liu, Jinyuan Jia, and Neil Zhenqiang Gong.
  USENIX Security Symposium, 2022.


• Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning
  Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, and Yang Zhang.
  European Conference on Computer Vision (ECCV), 2022.


• StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning
  Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong.
  ACM Conference on Computer and Communications Security (CCS), 2022.


• Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations
  Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu and Neil Zhenqiang Gong.
  International Conference on Learning Representations (ICLR), 2022.

2021

• EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning
  Hongbin Liu*, Jinyuan Jia*, Wenjie Qu and Neil Zhenqiang Gong.
  ACM Conference on Computer and Communications Security (CCS), 2021


• PointGuard: Provably Robust 3D Point Cloud Classification
  Hongbin Liu*, Jinyuan Jia* and Neil Zhenqiang Gong.
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021


• On the Intrinsic Differential Privacy of Bagging
  Hongbin Liu, Jinyuan Jia and Neil Zhenqiang Gong.
  International Joint Conference on Artificial Intelligence (IJCAI), 2021

May 2024 - Aug. 2024: Research Intern, Google AI.

June 2023 - Jan. 2024: Student Researcher, Google AI.

Jan. 2021 - Apr. 2021: Research Intern, Alibaba Group.

Jul. 2019 - Sep. 2019: Research Intern, HKUST.

Conference Reviewer: ECCV 2024, ACCV 2024, ICCV 2023.

Journal Reviewer: T-IFS 2023.