Automated Program Debugging for Multiple Bugs Based on Semantic Analysis. - Aishan Liu; Li Li; Jie Luo 004 (SOFL+MSVL, 2015)

Perceptual-Sensitive GAN for Generating Adversarial Patches. - Aishan Liu; Xianglong Liu 001; Jiaxin Fan; Yuqing Ma; Anlan Zhang; Huiyuan Xie; Dacheng Tao (AAAI, 2019)

Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. - Yuqing Ma; Xianglong Liu 001; Shihao Bai; Lei Wang 018; Dailan He; Aishan Liu (IJCAI, 2019)

Towards Noise-Robust Neural Networks via Progressive Adversarial Training. - Hang Yu 016; Aishan Liu; Xianglong Liu 001; Jichen Yang; Chongzhi Zhang (CoRR, 2019)

Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. - Chongzhi Zhang; Aishan Liu; Xianglong Liu 001; Yitao Xu; Hang Yu 016; Yuqing Ma; Tianlin Li (CoRR, 2019)

Training Robust Deep Neural Networks via Adversarial Noise Propagation. - Aishan Liu; Xianglong Liu 001; Chongzhi Zhang; Hang Yu 016; Qiang Liu 001; Junfeng He (CoRR, 2019)

Region-wise Generative Adversarial ImageInpainting for Large Missing Areas. - Yuqing Ma; Xianglong Liu 001; Shihao Bai; Lei Wang 018; Aishan Liu; Dacheng Tao; Edwin R. Hancock (CoRR, 2019)

Spatiotemporal Attacks for Embodied Agents. - Aishan Liu; Tairan Huang; Xianglong Liu 001; Yitao Xu; Yuqing Ma; Xinyun Chen; Stephen J. Maybank; Dacheng Tao (ECCV (17), 2020)

Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. - Aishan Liu; Jiakai Wang; Xianglong Liu 001; Bowen Cao; Chongzhi Zhang; Hang Yu 016 (ECCV (13), 2020)

Transductive Relation-Propagation Network for Few-shot Learning. - Yuqing Ma; Shihao Bai; Shan An; Wei Liu 005; Aishan Liu; Xiantong Zhen; Xianglong Liu 001 (IJCAI, 2020)

Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration. - Yuqing Ma; Wei Liu 005; Shihao Bai; Qingyu Zhang; Aishan Liu; Weimin Chen 002; Xianglong Liu 001 (IJCAI, 2020)

Dialogue Policies for Learning Board Games through Multimodal Communication. - Maryam Zare; Ali Ayub; Aishan Liu; Sweekar Sudhakara; Albert F. Wagner; Rebecca J. Passonneau (SIGdial, 2020)

Adversarial Attacks for Embodied Agents. - Aishan Liu; Tairan Huang; Xianglong Liu 001; Yitao Xu; Yuqing Ma; Xinyun Chen; Stephen J. Maybank; Dacheng Tao (CoRR, 2020)

Patch Attack for Automatic Check-out. - Aishan Liu; Jiakai Wang; Xianglong Liu 001; Chongzhi Zhang; Bowen Cao; Hang Yu 016 (CoRR, 2020)

Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. - Aishan Liu; Shiyu Tang; Xianglong Liu 001; Xinyun Chen; Lei Huang 015; Zhuozhuo Tu; Dawn Song; Dacheng Tao (CoRR, 2020)

A Deep Learning and Ontology Based Framework for Textual Requirements Analysis and Conceptual Model Generation. - Yongjun Qie; Huanhuan Shen; Aishan Liu (CSDM Asia / CSDM, 2021)

Boost System of Systems Modeling via UPDM: A Case Study from Air Traffic Management. - Huanhuan Shen; Weijie Zhu; Aishan Liu (CSDM Asia / CSDM, 2021)

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. - Jiakai Wang; Aishan Liu; Zixin Yin; Shunchang Liu; Shiyu Tang; Xianglong Liu 001 (CVPR, 2021)

ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones. - Shan An; Guangfu Che; Jinghao Guo; Haogang Zhu; Junjie Ye; Fangru Zhou; Zhaoqi Zhu; Dong Wei; Aishan Liu; Wei Zhang 031 (ACM Multimedia, 2021)

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. - Aishan Liu; Xinyun Chen; Yingwei Li 002; Chaowei Xiao; Xun Yang 001; Xianglong Liu 001; Dawn Song; Dacheng Tao; Alan L. Yuille; Anima Anandkumar (ACM Multimedia, 2021)

A Comprehensive Evaluation Framework for Deep Model Robustness. - Aishan Liu; Xianglong Liu 001; Jun Guo 009; Jiakai Wang; Yuqing Ma; Ze Zhao; Xinghai Gao; Gang Xiao (CoRR, 2021)

Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images. - Renshuai Tao; Yanlu Wei; Hainan Li; Aishan Liu; Yifu Ding; Haotong Qin; Xianglong Liu 001 (CoRR, 2021)

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. - Shiyu Tang; Ruihao Gong; Yan Wang 033; Aishan Liu; Jiakai Wang; Xinyun Chen; Fengwei Yu; Xianglong Liu 001; Dawn Song; Alan L. Yuille; Philip H. S. Torr; Dacheng Tao (CoRR, 2021)

Understanding adversarial robustness via critical attacking route. - Tianlin Li; Aishan Liu; Xianglong Liu 001; Yitao Xu; Chongzhi Zhang; Xiaofei Xie (Inf. Sci., 2021)

Sequential alignment attention model for scene text recognition. - Yan Wu 013; Jiaxin Fan; Renshuai Tao; Jiakai Wang; Haotong Qin; Aishan Liu; Xianglong Liu 001 (J. Vis. Commun. Image Represent., 2021)

Training Robust Deep Neural Networks via Adversarial Noise Propagation. - Aishan Liu; Xianglong Liu 001; Hang Yu 016; Chongzhi Zhang; Qiang Liu 001; Dacheng Tao (IEEE Trans. Image Process., 2021)

Progressive Diversified Augmentation for General Robustness of DNNs: A Unified Approach. - Hang Yu 016; Aishan Liu; Gengchao Li; Jichen Yang; Chongzhi Zhang (IEEE Trans. Image Process., 2021)

Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity. - Chongzhi Zhang; Aishan Liu; Xianglong Liu 001; Yitao Xu; Hang Yu 016; Yuqing Ma; Tianlin Li (IEEE Trans. Image Process., 2021)

Harnessing Perceptual Adversarial Patches for Crowd Counting. - Shunchang Liu; Jiakai Wang; Aishan Liu; Yingwei Li 002; Yijie Gao; Xianglong Liu 001; Dacheng Tao (CCS, 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 001; Aishan 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 001; Dacheng Tao (CVPR, 2022)

BiBERT: Accurate Fully Binarized BERT. - Haotong Qin; Yifu Ding; Mingyuan Zhang; Qinghua Yan; Aishan Liu; Qingqing Dang; Ziwei Liu 002; Xianglong Liu 001 (ICLR, 2022)

Imitated Detectors: Stealing Knowledge of Black-box Object Detectors. - Siyuan Liang; Aishan Liu; Jiawei Liang; Longkang Li; Yang Bai; Xiaochun Cao (ACM Multimedia, 2022)

Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network. - Renshuai Tao; Tianbo Wang; Ziyang Wu; Cong Liu 006; Aishan Liu; Xianglong Liu 001 (ACM Multimedia, 2022)

Generating Transferable Adversarial Examples against Vision Transformers. - Yuxuan Wang; Jiakai Wang; Zixin Yin; Ruihao Gong; Jingyi Wang; Aishan Liu; Xianglong Liu 001 (ACM Multimedia, 2022)

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. - Simin Li; Huangxinxin Xu; Jiakai Wang; Aishan Liu; Fazhi He; Xianglong Liu 001; Dacheng Tao (CoRR, 2022)

Adaptive Perturbation Generation for Multiple Backdoors Detection. - Yuhang Wang; Huafeng Shi; Rui Min; Ruijia Wu; Siyuan Liang; Yichao Wu; Ding Liang; Aishan Liu (CoRR, 2022)

Improving Robust Fairness via Balance Adversarial Training. - Chunyu Sun; Chenye Xu; Chengyuan Yao; Siyuan Liang; Yichao Wu; Ding Liang; Xianglong Liu 001; Aishan Liu (CoRR, 2022)

Rethinking Data Augmentation in Knowledge Distillation for Object Detection. - Jiawei Liang; Siyuan Liang; Aishan Liu; Mingli Zhu; Danni Yuan; Chenye Xu; Xiaochun Cao (CoRR, 2022)

Exploring the Relationship between Architecture and Adversarially Robust Generalization. - Shiyu Tang; Siyuan Liang; Ruihao Gong; Aishan Liu; Xianglong Liu 001; Dacheng Tao (CoRR, 2022)

Revisiting audio visual scene-aware dialog. - Aishan Liu; Huiyuan Xie; Xianglong Liu 001; Zixin Yin; Shunchang Liu (Neurocomputing, 2022)

Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias. - Jiakai Wang; Aishan Liu; Xiao Bai 001; Xianglong Liu 001 (IEEE Trans. Image Process., 2022)

Improving Robust Fariness via Balance Adversarial Training. - Chunyu Sun; Chenye Xu; Chengyuan Yao; Siyuan Liang; Yichao Wu; Ding Liang; Xianglong Liu 001; Aishan Liu (AAAI, 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 001; Xianglong Liu 001 (CVPR, 2023)

Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. - Aishan Liu; Shiyu Tang; Siyuan Liang; Ruihao Gong; Boxi Wu; Xianglong Liu 001; Dacheng Tao (CVPR, 2023)

FAIRER: Fairness as Decision Rationale Alignment. - Tianlin Li; Qing Guo 005; Aishan Liu; Mengnan Du; Zhiming Li; Yang Liu 003 (ICML, 2023)

Fairness via Group Contribution Matching. - Tianlin Li; Zhiming Li; Anran Li 001; Mengnan Du; Aishan Liu; Qing Guo 005; Guozhu Meng; Yang Liu 003 (IJCAI, 2023)

Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. - Yisong Xiao; Aishan Liu; Tianlin Li; Xianglong Liu 001 (ISSTA, 2023)

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. - Yan Wang 033; Yuhang Li 001; Ruihao Gong; Aishan Liu; Yanfei Wang; Jian Hu; Yongqiang Yao; Yunchen Zhang; Tianzi Xiao; Fengwei Yu; Xianglong Liu 001 (MLSys, 2023)

Face Encryption via Frequency-Restricted Identity-Agnostic Attacks. - Xin Dong 015; Rui Wang 032; Siyuan Liang; Aishan Liu; Lihua Jing (ACM Multimedia, 2023)

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. - Jun Guo 009; Xingyu Zheng; Aishan Liu; Siyuan Liang; Yisong Xiao; Yichao Wu; Xianglong Liu 001 (ACM Multimedia, 2023)

Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation. - Jiawei Liang; Siyuan Liang; Aishan Liu; Ke Ma 001; Jingzhi Li 002; Xiaochun Cao (ACM Multimedia, 2023)

X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. - Aishan Liu; Jun Guo 009; Jiakai Wang; Siyuan Liang; Renshuai Tao; Wenbo Zhou; Cong Liu 006; Xianglong Liu 001; Dacheng Tao (USENIX Security Symposium, 2023)

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. - Simin Li; Jun Guo 009; Jingqiao Xiu; Pu Feng; Xin Yu 009; Jiakai Wang; Aishan Liu; Wenjun Wu 001; Xianglong Liu 001 (CoRR, 2023)

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. - Simin Li; Shuing Zhang; Gujun Chen; Dong Wang; Pu Feng; Jiakai Wang; Aishan Liu; Xin Yi 001; Xianglong Liu 001 (CoRR, 2023)

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. - Simin Li; Jun Guo 009; Jingqiao Xiu; Xini Yu; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001 (CoRR, 2023)

MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. - Simin Li; Ruixiao Xu; Jun Guo 009; Pu Feng; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001; Weifeng Lv (CoRR, 2023)

Adversarial Examples in the Physical World: A Survey. - Jiakai Wang; Donghua Wang; Jin Hu; Siyang Wu; Tingsong Jiang; Wen Yao; Aishan Liu; Xianglong Liu 001 (CoRR, 2023)

Regionwise Generative Adversarial Image Inpainting for Large Missing Areas. - Yuqing Ma; Xianglong Liu 001; Shihao Bai; Lei Wang 018; Aishan Liu; Dacheng Tao; Edwin R. Hancock (IEEE Trans. Cybern., 2023)

Temporal Speciation Network for Few-Shot Object Detection. - Xiaowei Zhao; Xianglong Liu 001; Yuqing Ma; Shihao Bai; Yifan Shen; Zeyu Hao; Aishan Liu (IEEE Trans. Multim., 2023)

RobustMQ: benchmarking robustness of quantized models. - Yisong Xiao; Aishan Liu; Tianyuan Zhang 004; Haotong Qin; Jinyang Guo; Xianglong Liu 001 (Vis. Intell., 2023)

On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration. - Zhihao Cheng; Liu Liu 014; Aishan Liu; Hao Sun 019; Meng Fang; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2023)

A comprehensive evaluation framework for deep model robustness. - Jun Guo 009; Wei Bao; Jiakai Wang; Yuqing Ma; Xinghai Gao; Gang Xiao; Aishan Liu; Jian Dong; Xianglong Liu 001; Wenjun Wu 001 (Pattern Recognit., 2023)

GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models. - Kunsheng Tang; Wenbo Zhou; Jie Zhang 073; Aishan Liu; Gelei Deng; Shuai Li; Peigui Qi; Weiming Zhang 001; Tianwei Zhang 004; Nenghai Yu (CCS, 2024)

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

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. - Simin Li; Jun Guo 009; Jingqiao Xiu; Ruixiao Xu; Xin Yu 009; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Xianglong Liu 001 (ICLR, 2024)

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

RUNNER: Responsible UNfair NEuron Repair for Enhancing Deep Neural Network Fairness. - Tianlin Li; Yue Cao; Jian Zhang 087; Shiqian Zhao; Yihao Huang 001; Aishan Liu; Qing Guo 005; Yang Liu 003 (ICSE, 2024)

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. - Tianyuan Zhang 004; Lu Wang; Hainan Li; Yisong Xiao; Siyuan Liang; Aishan Liu; Xianglong Liu 001; Dacheng Tao (ACM Multimedia, 2024)

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. - Zining Wang; Jinyang Guo; Ruihao Gong; Yang Yong; Aishan Liu; Yushi Huang; Jiaheng Liu; Xianglong Liu 001 (ACM Multimedia, 2024)

Towards Robust Physical-world Backdoor Attacks on Lane Detection. - Xinwei Zhang; Aishan Liu; Tianyuan Zhang 004; Siyuan Liang; Xianglong Liu 001 (ACM Multimedia, 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 001 (NeurIPS, 2024)

Transferable Multimodal Attack on Vision-Language Pre-training Models. - Haodi Wang; Kai Dong 002; Zhilei Zhu; Haotong Qin; Aishan Liu; Xiaolin Fang 001; Jiakai Wang; Xianglong Liu 001 (SP, 2024)

VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models. - Jiawei Liang; Siyuan Liang; Man Luo; Aishan Liu; Dongchen Han; Ee-Chien Chang; Xiaochun Cao (CoRR, 2024)

Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs. - Xiaoxia Li; Siyuan Liang; Jiyi Zhang; Han Fang; Aishan Liu; Ee-Chien Chang (CoRR, 2024)

Object Detectors in the Open Environment: Challenges, Solutions, and Outlook. - Siyuan Liang; Wei Wang 010; Ruoyu Chen 001; Aishan Liu; Boxi Wu; Ee-Chien Chang; Xiaochun Cao; Dacheng Tao (CoRR, 2024)

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography. - Nhat Minh Chung; Sensen Gao; Tuan-Anh Vu; Jie Zhang 002; Aishan Liu; Yun Lin 001; Jin Song Dong 001; Qing Guo 005 (CoRR, 2024)

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. - Tianyuan Zhang 004; Lu Wang; Hainan Li; Yisong Xiao; Siyuan Liang; Aishan Liu; Xianglong Liu 001; Dacheng Tao (CoRR, 2024)

Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks. - Zonghao Ying; Aishan Liu; Xianglong Liu 001; Dacheng Tao (CoRR, 2024)

Revisiting Backdoor Attacks against Large Vision-Language Models. - Siyuan Liang; Jiawei Liang; Tianyu Pang; Chao Du; Aishan Liu; Ee-Chien Chang; Xiaochun Cao (CoRR, 2024)

GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. - Yisong Xiao; Aishan Liu; QianJia Cheng; Zhenfei Yin; Siyuan Liang; Jiapeng Li; Jing Shao; Xianglong Liu 001; Dacheng Tao (CoRR, 2024)

Compromising Embodied Agents with Contextual Backdoor Attacks. - Aishan Liu; Yuguang Zhou; Xianglong Liu 001; Tianyuan Zhang 004; Siyuan Liang; Jiakai Wang; Yanjun Pu; Tianlin Li; Junqi Zhang; Wenbo Zhou; Qing Guo 005; Dacheng Tao (CoRR, 2024)

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving. - Tianyuan Zhang 004; Lu Wang; Jiaqi Kang; Xinwei Zhang; Siyuan Liang; Yuwei Chen; Aishan Liu; Xianglong Liu 001 (CoRR, 2024)

SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. - Zonghao Ying; Aishan Liu; Siyuan Liang; Lei Huang 015; Jinyang Guo; Wenbo Zhou; Xianglong Liu 001; Dacheng Tao (CoRR, 2024)

TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World. - Xianlong Wang 001; Hewen Pan; Hangtao Zhang; Minghui Li; Shengshan Hu; Ziqi Zhou 001; Lulu Xue; Peijin Guo; Yichen Wang; Wei Wan; Aishan Liu; Leo Yu Zhang (CoRR, 2024)

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving. - Tianyuan Zhang 004; Lu Wang; Xinwei Zhang; Yitong Zhang; Boyi Jia; Siyuan Liang; Shengshan Hu; Qiang Fu 006; Aishan Liu; Xianglong Liu 001 (CoRR, 2024)

CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models. - Zhixiang Guo; Siyuan Liang; Aishan Liu; Dacheng Tao (CoRR, 2024)

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. - Zining Wnag; Jinyang Guo; Ruihao Gong; Yang Yong; Aishan Liu; Yushi Huang; Jiaheng Liu; Xianglong Liu 001 (CoRR, 2024)

Red Pill and Blue Pill: Controllable Website Fingerprinting Defense via Dynamic Backdoor Learning. - Siyuan Liang; Jiajun Gong; Tianmeng Fang; Aishan Liu; Tao Wang; Xianglong Liu 001; Xiaochun Cao; Dacheng Tao; Ee-Chien Chang (CoRR, 2024)

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. - Simin Li; Huangxinxin Xu; Jiakai Wang; Ruixiao Xu; Aishan Liu; Fazhi He; Xianglong Liu 001; Dacheng Tao (IEEE Trans. Image Process., 2024)

Improving Deepfake Detection Generalization by Invariant Risk Minimization. - Zixin Yin; Jiakai Wang; Yisong Xiao; Hanqing Zhao; Tianlin Li; Wenbo Zhou; Aishan Liu; Xianglong Liu 001 (IEEE Trans. Multim., 2024)

Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis. - Tianlin Li; Xiaofei Xie; Jian Wang 067; Qing Guo 005; Aishan Liu; Lei Ma 003; Yang Liu 003 (ACM Trans. Softw. Eng. Methodol., 2024)

Towards Defending Multiple ℓ p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. - Aishan Liu; Shiyu Tang; Xinyun Chen; Lei Huang 015; Haotong Qin; Xianglong Liu 001; Dacheng Tao (Int. J. Comput. Vis., 2024)

Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. - Jiakai Wang; Xianglong Liu 001; Zixin Yin; Yuxuan Wang; Jun Guo 009; Haotong Qin; Qingtao Wu; Aishan Liu (Int. J. Comput. Vis., 2024)

ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models. - Xuxu Liu; Siyuan Liang; Mengya Han; Yong Luo 002; Aishan Liu; Xiantao Cai; Zheng He; Dacheng Tao (ACL (1), 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 (CVPR, 2025)

BadRobot: Jailbreaking Embodied LLM Agents in the Physical World. - Hangtao Zhang; Chenyu Zhu; Xianlong Wang 001; Ziqi Zhou 001; Changgan Yin; Minghui Li; Lulu Xue; Yichen Wang; Shengshan Hu; Aishan Liu; Peijin Guo; Leo Yu Zhang (ICLR, 2025)

BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. - Yisong Xiao; Aishan Liu; Xinwei Zhang; Tianyuan Zhang 004; Tianlin Li; Siyuan Liang; Xianglong Liu 001; Yang Liu 088; Dacheng Tao (ICSE, 2025)

Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. - Simin Li; Jun Guo 009; Jingqiao Xiu; Yuwei Zheng; Pu Feng; Xin Yu 009; Jiakai Wang; Aishan Liu; Yaodong Yang 001; Bo An 001; Wenjun Wu 001; Xianglong Liu 001 (Neural Networks, 2025)

Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models. - Yisong Xiao; Aishan Liu; Siyuan Liang; Xianglong Liu 001; Dacheng Tao (Proc. ACM Softw. Eng., 2025)

Compromising LLM Driven Embodied Agents With Contextual Backdoor Attacks. - Aishan Liu; Yuguang Zhou; Xianglong Liu 001; Tianyuan Zhang 004; Siyuan Liang; Jiakai Wang; Yanjun Pu; Tianlin Li; Junqi Zhang; Wenbo Zhou; Qing Guo 005; Dacheng Tao (IEEE Trans. Inf. Forensics Secur., 2025)

Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. - Zonghao Ying; Aishan Liu; Tianyuan Zhang 004; Zhengmin Yu; Siyuan Liang; Xianglong Liu 001; Dacheng Tao (IEEE Trans. Inf. Forensics Secur., 2025)

CogMorph: Cognitive Morphing Attacks for Text-to-Image Models. - Zonglei Jing; Zonghao Ying; Le Wang; Siyuan Liang; Aishan Liu; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving. - Lu Wang; Tianyuan Zhang 004; Yang Qu; Siyuan Liang; Yuwei Chen; Aishan Liu; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

Reasoning-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 001; Dacheng Tao (CoRR, 2025)

Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks. - Liming Lu; Shuchao Pang; Siyuan Liang; Haotian Zhu; Xiyu Zeng; Aishan Liu; Yunhuai Liu; Yongbin Zhou (CoRR, 2025)

Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings. - Zonghao Ying; Guangyi Zheng; Yongxin Huang; Deyue Zhang; Wenxin Zhang 005; Quanchen Zou; Aishan Liu; Xianglong Liu 001; Dacheng Tao (CoRR, 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 (CoRR, 2025)

Manipulating Multimodal Agents via Cross-Modal Prompt Injection. - Le Wang; Zonghao Ying; Tianyuan Zhang 004; Siyuan Liang; Shengshan Hu; Mingchuan Zhang; Aishan Liu; Xianglong Liu 001 (CoRR, 2025)

T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models. - Siyuan Liang; Jiayang Liu; Jiecheng Zhai; Tianmeng Fang; Rongcheng Tu; Aishan Liu; Xiaochun Cao; Dacheng Tao (CoRR, 2025)

SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs. - Shuhan Xu; Siyuan Liang; Hongling Zheng; Yong Luo 002; Aishan Liu; Dacheng Tao (CoRR, 2025)

ME: Trigger Element Combination Backdoor Attack on Copyright Infringement. - Feiyu Yang; Siyuan Liang; Aishan Liu; Dacheng Tao (CoRR, 2025)

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025. - Zonghao Ying; Siyang Wu; Run Hao; Peng Ying; Shixuan Sun; Pengyu Chen; Junze Chen; Hao Du; Kaiwen Shen; Shangkun Wu; Jiwei Wei; Shiyuan He; et al. (CoRR, 2025)

AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions. - Aishan Liu; Zonghao Ying; Le Wang; Junjie Mu; Jinyang Guo; Jiakai Wang; Yuqing Ma; Siyuan Liang; Mingchuan Zhang; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

Pre-trained Trojan Attacks for Visual Recognition. - Aishan Liu; Xianglong Liu 001; Xinwei Zhang; Yisong Xiao; Yuguang Zhou; Siyuan Liang; Jiakai Wang; Xiaochun Cao; Dacheng Tao (Int. J. Comput. Vis., 2025)

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents. - Siyuan Liang; Tianmeng Fang; Zhe Liu; Aishan Liu; Yan Xiao 002; Jinyuan He; Ee-Chien Chang; Xiaochun Cao (CoRR, 2025)

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks. - Zhiyao Ren; Siyuan Liang; Aishan Liu; Dacheng Tao (CoRR, 2025)

Investigating Training Data Detection in AI Coders. - Tianlin Li; Yunxiang Wei; Zhiming Li; Aishan Liu; Qing Guo 005; Xianglong Liu 001; Dongning Sun; Yang Liu 088 (CoRR, 2025)

VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models. - Jiawei Liang; Siyuan Liang; Aishan Liu; Xiaochun Cao (Int. J. Comput. Vis., 2025)

PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation. - Zonglei Jing; Xiao Yang; Xiaoqian Li; Siyuan Liang; Aishan Liu; Mingchuan Zhang; Xianglong Liu 001 (CoRR, 2025)

Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving. - Tianyuan Zhang 004; Ting Jin; Lu Wang; Jiangfan Liu; Siyuan Liang; Mingchuan Zhang; Aishan Liu; Xianglong Liu 001 (CoRR, 2025)

MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving. - Aishan Liu; Jiakai Wang; Tianyuan Zhang 004; Hainan Li; Jiangfan Liu; Siyuan Liang; Yilong Ren; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

MASteer: Multi-Agent Adaptive Steer Strategy for End-to-End LLM Trustworthiness Repair. - Changqing Li; Tianlin Li; Xiaohan Zhang; Aishan Liu; Li Pan (CoRR, 2025)

Dynamic Benchmark Construction for Evaluating Large Language Models on Real-World Codes. - Zhe Zhang; Runlin Liu; Aishan Liu; Xingyu Liu; Xiang Gao 012; Hailong Sun 001 (CoRR, 2025)

Your Coding Intent is Secretly in the Context and You Should Deliberately Infer It Before Completion. - Yanzhou Li; Tianlin Li; Yiran Zhang; Shangqing Liu; Aishan Liu; Yang Liu (CoRR, 2025)

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles. - Jiangfan Liu; Yongkang Guo; Fangzhi Zhong; Tianyuan Zhang 004; Zonglei Jing; Siyuan Liang; Jiakai Wang; Mingchuan Zhang; Aishan Liu; Xianglong Liu 001 (CoRR, 2025)