Liu, Aishan

27 publications

ICLR 2025 BadRobot: Jailbreaking Embodied LLM Agents in the Physical World Hangtao Zhang, Chenyu Zhu, Xianlong Wang, Ziqi Zhou, Changgan Yin, Minghui Li, Lulu Xue, Yichen Wang, Shengshan Hu, Aishan Liu, Peijin Guo, Leo Yu Zhang

ICCV 2025 CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks Zhixiang Guo, Siyuan Liang, Aishan Liu, Dacheng Tao

NeurIPS 2025 Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao

NeurIPS 2025 Exploring Semantic-Constrained Adversarial Example with Instruction Uncertainty Reduction Jin Hu, Jiakai Wang, Linna Jing, Haolin Li, Haodong Liu, Haotong Qin, Aishan Liu, Ke Xu, Xianglong Liu

ICML 2025 ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks Zhiyao Ren, Siyuan Liang, Aishan Liu, Dacheng Tao

NeurIPS 2025 Lie Detector: Unified Backdoor Detection via Cross-Examination Framework Xuan Wang, Siyuan Liang, Dongping Liao, Han Fang, Aishan Liu, Xiaochun Cao, Yu-liang Lu, Ee-Chien Chang, Xitong Gao

CVPR 2025 Revisiting Backdoor Attacks Against Large Vision-Language Models from Domain Shift Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Mingli Zhu, Xiaochun Cao, Dacheng Tao

NeurIPS 2025 T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks Jiayang Liu, Siyuan Liang, Shiqian Zhao, Rong-Cheng Tu, Wenbo Zhou, Aishan Liu, Dacheng Tao, Siew Kei Lam

CVPR 2024 BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang

ICLR 2024 Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu

NeurIPS 2024 LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu

ICLR 2024 Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao

CVPR 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao

ICML 2023 FAIRER: Fairness as Decision Rationale Alignment Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu

IJCAI 2023 Fairness via Group Contribution Matching Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu

AAAI 2023 Improving Robust Fariness via Balance Adversarial Training Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu

CVPR 2023 Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu

ICLR 2022 BiBERT: Accurate Fully Binarized BERT Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu

CVPR 2022 Defensive Patches for Robust Recognition in the Physical World Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao

CVPR 2022 Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu

CVPR 2021 Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu

ECCV 2020 Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu

IJCAI 2020 Few-Shot Visual Learning with Contextual Memory and Fine-Grained Calibration Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu

ECCV 2020 Spatiotemporal Attacks for Embodied Agents Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao

IJCAI 2020 Transductive Relation-Propagation Network for Few-Shot Learning Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu

IJCAI 2019 Coarse-to-Fine Image Inpainting via Region-Wise Convolutions and Non-Local Correlation Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu

AAAI 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao