I am currently a Computer Science Ph.D. candidate under the supervision of Prof. Tianwei Zhang in S-Lab, Nanyang Technological University, Singapore. Before that, I received my B.Eng. degree in Information Security, Mathematics from Shandong University, China.

Research Interests

• Deep Learning
• Computer Vision
• Adversarial Attack and Defense
• Backdoor Attack and Data Poison

Publications

• PRIME: Protect Your Videos From Malicious Editing [pdf][code]

  Guanlin Li, Shuai Yang, Jie Zhang, Tianwei Zhang

  arXiv, 2024

• Warfare:Breaking the Watermark Protection of AI-Generated Content [pdf]

  Guanlin Li, Yifei Chen, Jie Zhang, Jiwei Li, Shangwei Guo, Tianwei Zhang

  arXiv, 2023

• Singular Regularization with Information Bottleneck Improves Model’s Adversarial Robustness [pdf]

  Guanlin Li, Naishan Zheng, Man Zhou, Jie Zhang, Tianwei Zhang

  arXiv, 2023

• Rethinking Adversarial Training with Neural Tangent Kernel [pdf]

  Guanlin Li, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang

  arXiv, 2023

• Alleviating the Effect of Data Imbalance on Adversarial Training [pdf] [code]

  Guanlin Li, Guowen Xu, Tianwei Zhang

  arXiv, 2023

• Omnipotent Adversarial Training in the Wild [pdf] [code]

  Guanlin Li, Kangjie Chen, Yuan Xu, Han Qiu, Tianwei Zhang

  arXiv, 2023

• Extracting Robust Models with Uncertain Examples [pdf] [code]

  Guanlin Li, Guowen Xu, Shangwei Guo, Han Qiu, Jiwei Li, Tianwei Zhang

  Proceedings of the International Conference on Learning Representations, 2023

• Secure Decentralized Image Classification with Multiparty Homomorphic Encryption [pdf]

  Guowen Xu, Guanlin Li, Shangwei Guo, Tianwei Zhang, Hongwei Li

  IEEE Transactions on Circuits and Systems for Video Technology, 2023

• A Benchmark of Long-tailed Instance Segmentation with Noisy Labels [pdf] [code]

  Guanlin Li, Guowen Xu, Tianwei Zhang

  arXiv, 2022

• Improving Adversarial Robustness of 3D Point Cloud Classification Models [pdf] [code]

  Guanlin Li, Guowen Xu, Han Qiu, Ruan He, Jiwei Li, Tianwei Zhang

  Proceedings of the European Conference on Computer Vision, 2022

• A Novel Verifiable Fingerprinting Scheme for Generative Adversarial Networks [pdf]

  Guanlin Li, Guowen Xu, Han Qiu, Shangwei Guo, Run Wang, Jiwei Li, Tianwei Zhang

  arXiv, 2021

• Enhancing intrinsic adversarial robustness via feature pyramid decoder [pdf] [code]

  Guanlin Li, Shuya Ding, Jun Luo, Chang Liu

  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

• Scnet: A neural network for automated side-channel attack [pdf] [code]

  Guanlin Li, Chang Liu, Han Yu, Yanhong Fan, Libang Zhang, Zongyue Wang, Meiqin Wang

  arXiv, 2020

Professional Services

Conference Reviewer for ICML, NeurIPS, ICLR, ECCV, and ICCV