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Aishan Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

40

Venues

15

Active years

2019–2026

Best venue rank

A*

Where they publish

Papers

40 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAICMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models.Shengbo Gao, Jinyang Guo, Lixian Su, Yifu Ding, Shiqiao Gu, Aishan Liu, Yuqing Ma, Zhiwang Zhang, Xianglong Liu
2026AAAIActivation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models.Haojie Hao, Jiakai Wang, Aishan Liu, Yuqing Ma, Haotong Qin, Yuanfang Guo, Xianglong Liu
2026AAAIAdversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles.Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2026AAAISRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs.Shuhan Xu, Siyuan Liang, Hongling Zheng, Aishan Liu, Xinbiao Wang, Yong Luo, Fu Lin, Leszek Rutkowski, Dacheng Tao
2026ACLScaling Laws for Code: Every Programming Language Matters.Jian Yang, Shuyue Guo, Linzheng Chai, Wei Zhang, Aishan Liu, Chuan Hao, Zhoujun Li, Xin Zhao, Xianglong Liu, Weifeng Lv, Bryan Dai
2026ACLLoopCoder: Scaling Code Intelligence via Looped Language Models.Jian Yang, Wei Zhang, Shuyue Guo, Yizhi LI, Linzheng Chai, Zhengmao Ye, Shukai Liu, Yuyang Song, Jiajun Wu, Che Liu, Tianyu Zheng, Siwei Wu, Leo L, Xudong Ma, Chuan Hao, Ran Tao, Yan Xing, Jianzhou Wang, Mingjie Tang, Aishan Liu, Zhoujun Li, Xianglong Liu, Weifeng Lv, Bryan Dai
2026ACLSecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents.Zonghao Ying, Yangguang Shao, Jianle Gan, Gan Xu, Wenxin Zhang, Quanchen Zou, Junzheng Shi, Zhenfei Yin, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2026ACLUncovering Strategic Egoism Behaviors in Large Language Models.Yaoyuan Zhang, Zonghao Ying, Aishan Liu, Jian Yang, Tianlin Li, Yaodong Yang, Xianglong Liu
2025ACLELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models.Xuxu Liu, Siyuan Liang, Mengya Han, Yong Luo, Aishan Liu, Xiantao Cai, Zheng He, Dacheng Tao
2025CVPRRevisiting 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
2025EMNLPReasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models.Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao
2025ICCVCopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks.Zhixiang Guo, Siyuan Liang, Aishan Liu, Dacheng Tao
2025ICECCSAn Analytical Perspective on Software Engineering for Large Language Models.Tianlin Li, Qiang Hu, Chong Wang, Jian Zhang, Wei Ma, Aishan Liu, Jingyi Wang, Yang Liu
2025ICLRBadRobot: 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
2025ICMLICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks.Zhiyao Ren, Siyuan Liang, Aishan Liu, Dacheng Tao
2025ICSEBDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks.Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao
2024CCSGenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models.Kunsheng Tang, Wenbo Zhou, Jie Zhang, Aishan Liu, Gelei Deng, Shuai Li, Peigui Qi, Weiming Zhang, Tianwei Zhang, Nenghai Yu
2024CVPRBadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning.Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang
2024ICLRPoisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection.Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
2024ICLRByzantine 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
2024ICSERUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness.Tianlin Li, Yue Cao, Jian Zhang, Shiqian Zhao, Yihao Huang, Aishan Liu, Qing Guo, Yang Liu
2024SPTransferable Multimodal Attack on Vision-Language Pre-training Models.Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu
2023AAAIImproving Robust Fariness via Balance Adversarial Training.Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
2023CVPRExploring the Relationship Between Architectural Design and Adversarially Robust Generalization.Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao
2023CVPRTowards 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
2023ICMLFAIRER: Fairness as Decision Rationale Alignment.Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu
2023IJCAIFairness via Group Contribution Matching.Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu
2023ISSTALatent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing.Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
2022CCSHarnessing Perceptual Adversarial Patches for Crowd Counting.Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
2022CVPRExploring 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
2022CVPRDefensive Patches for Robust Recognition in the Physical World.Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
2022ICLRBiBERT: Accurate Fully Binarized BERT.Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
2021CVPRDual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World.Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
2020ECCVSpatiotemporal Attacks for Embodied Agents.Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
2020ECCVBias-Based Universal Adversarial Patch Attack for Automatic Check-Out.Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu
2020IJCAITransductive Relation-Propagation Network for Few-shot Learning.Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu
2020IJCAIFew-shot Visual Learning with Contextual Memory and Fine-grained Calibration.Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu
2020SIGdialDialogue Policies for Learning Board Games through Multimodal Communication.Maryam Zare, Ali Ayub, Aishan Liu, Sweekar Sudhakara, Albert F. Wagner, Rebecca J. Passonneau
2019AAAIPerceptual-Sensitive GAN for Generating Adversarial Patches.Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao
2019IJCAICoarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation.Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu