Guo, Junfeng

18 publications

ICLR 2025 A Watermark for Order-Agnostic Language Models Ruibo Chen, Yihan Wu, Yanshuo Chen, Chenxi Liu, Junfeng Guo, Heng Huang

ICML 2025 De-Mark: Watermark Removal in Large Language Models Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

ICCV 2025 Federated Continuous Category Discovery and Learning Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong

ICLR 2025 Mind Control Through Causal Inference: Predicting Clean Images from Poisoned Data Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar Vullikanti, Sheng Li

CVPR 2025 SleeperMark: Towards Robust Watermark Against Fine-Tuning Text-to-Image Diffusion Models Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu

ICML 2024 A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang

TMLR 2024 BBCaL: Black-Box Backdoor Detection Under the Causality Lens Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li

ECCV 2024 Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

ECCV 2024 Training a Secure Model Against Data-Free Model Extraction Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao

NeurIPS 2024 ZeroMark: Towards Dataset Ownership Verification Without Disclosing Watermark Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang

NeurIPS 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection Is Closed at Hand Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

ICCV 2023 PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning Junfeng Guo, Ang Li, Lixu Wang, Cong Liu

ICLR 2023 SCALE-UP: An Efficient Black-Box Input-Level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu

CVPR 2023 Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu

ICLR 2022 AEVA: Black-Box Backdoor Detection Using Adversarial Extreme Value Analysis Junfeng Guo, Ang Li, Cong Liu

CVPR 2022 Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H.T. Kung

IJCAI 2021 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition Bangjie Yin, Wenxuan Wang, Taiping Yao, Junfeng Guo, Zelun Kong, Shouhong Ding, Jilin Li, Cong Liu

ECCV 2020 Practical Poisoning Attacks on Neural Networks Junfeng Guo, Cong Liu