Siyuan Liang - RankMe

136 papers A* 29Journal 101Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles. AAAI Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2026	J	`jnl`	BadCLIP++: Stealthy and Persistent Backdoors in Multimodal Contrastive Learning. CoRR Siyuan Liang, Yongcheng Jing, Yingjie Wang, Jiaxing Huang, Ee-Chien Chang, Dacheng Tao
2026	J	`jnl`	CtrlAttack: A Unified Attack on World-Model Control in Diffusion Models. CoRR Shuhan Xu, Siyuan Liang, Hongling Zheng, Yong Luo, Han Hu, Lefei Zhang, Dacheng Tao
2026	J	`jnl`	R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting. CoRR Tianrui Lou, Siyuan Liang, Jiawei Liang, Yuze Gao, Xiaochun Cao
2026	A*	`conf`	SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs. AAAI Shuhan Xu, Siyuan Liang, Hongling Zheng, Aishan Liu, Xinbiao Wang, Yong Luo, Fu Lin, Leszek Rutkowski, Dacheng Tao
2026	J	`jnl`	SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. Int. J. Comput. Vis. Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao
2026	J	`jnl`	T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models. Int. J. Comput. Vis. Siyuan Liang, Jiayang Liu, Jiecheng Zhai, Tianmeng Fang, Rongcheng Tu, Aishan Liu, Xiaochun Cao, Dacheng Tao
2026	J	`jnl`	Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation. CoRR Zhiyao Ren, Yibing Zhan, Siyuan Liang, Guozheng Ma, Baosheng Yu, Dacheng Tao
2026	J	`jnl`	TrapFlow: Controllable Website Fingerprinting Defense via Dynamic Backdoor Learning. IEEE Trans. Inf. Forensics Secur. Siyuan Liang, Jiajun Gong, Tianmeng Fang, Aishan Liu, Tao Wang, Xiaochun Cao, Dacheng Tao, Ee-Chien Chang
2026	J	`jnl`	WFCAT: Augmenting Website Fingerprinting With Channel-Wise Attention on Timing Features. IEEE Trans. Dependable Secur. Comput. Jiajun Gong, Wei Cai, Siyuan Liang, Zhong Guan, Tao Wang, Ee-Chien Chang
2026	J	`jnl`	When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World Models. CoRR Zhixiang Guo, Siyuan Liang, Andras Balogh, Noah Lunberry, Rong-Cheng Tu, Márk Jelasity, Dacheng Tao
2025	J	`jnl`	3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation. CoRR Tianrui Lou, Xiaojun Jia, Siyuan Liang, Jiawei Liang, Ming Zhang, Yanjun Xiao, Xiaochun Cao
2025	J	`jnl`	AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions. CoRR Aishan Liu, Zonghao Ying, Le Wang, Junjie Mu, Jinyang Guo, Jiakai Wang, Yuqing Ma, Siyuan Liang, Mingchuan Zhang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles. CoRR Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025	J	`jnl`	Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks. CoRR Liming Lu, Shuchao Pang, Siyuan Liang, Haotian Zhu, Xiyu Zeng, Aishan Liu, Yunhuai Liu, Yongbin Zhou
2025	J	`jnl`	An Intelligent Badminton Handle With Multinode MEMS Sensors for Explainable Motion Recognition. IEEE Internet Things J. Jian Li, Yibo Fan, Ruoyu Chen, Siyuan Liang, Yifei Feng, Ying He, Yuliang Zhao
2025	A*	`conf`	BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. ICSE Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao
2025	J	`jnl`	Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving. CoRR Tianyuan Zhang, Ting Jin, Lu Wang, Jiangfan Liu, Siyuan Liang, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025	J	`jnl`	Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving. CoRR Lu Wang, Tianyuan Zhang, Yang Qu, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Bridging the Task Gap: Multi-Task Adversarial Transferability in CLIP and Its Derivatives. CoRR Kuanrong Liu, Siyuan Liang, Cheng Qian, Ming Zhang, Xiaochun Cao
2025	—	`conf`	Bridging the Task Gap: Multi-task Adversarial Transferability in CLIP and Its Derivatives. PRCV (4) Kuanrong Liu, Siyuan Liang, Cheng Qian, Ming Zhang, Xiaochun Cao
2025	J	`jnl`	CleanerCLIP: Fine-Grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning. IEEE Trans. Inf. Forensics Secur. Yuan Xun, Siyuan Liang, Xiaojun Jia, Xinwei Liu, Jun Chen, Xiaochun Cao
2025	J	`jnl`	CogMorph: Cognitive Morphing Attacks for Text-to-Image Models. CoRR Zonglei Jing, Zonghao Ying, Le Wang, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Compromising LLM Driven Embodied Agents With Contextual Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao
2025	J	`jnl`	Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing. CoRR Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao
2025	—	`conf`	ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models. ACL (1) Xuxu Liu, Siyuan Liang, Mengya Han, Yong Luo, Aishan Liu, Xiantao Cai, Zheng He, Dacheng Tao
2025	J	`jnl`	ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models. CoRR Xuxu Liu, Siyuan Liang, Mengya Han, Yong Luo, Aishan Liu, Xiantao Cai, Zheng He, Dacheng Tao
2025	J	`jnl`	Explaining multimodal LLMs via intra-modal token interactions. CoRR Jiawei Liang, Ruoyu Chen, Xianghao Jiao, Siyuan Liang, Shiming Liu, Qunli Zhang, Zheng Hu, Xiaochun Cao
2025	J	`jnl`	FERD: Fairness-Enhanced Data-Free Robustness Distillation. CoRR Zhengxiao Li, Liming Lu, Xu Zheng, Siyuan Liang, Zhenghan Chen, Yongbin Zhou, Shuchao Pang
2025	J	`jnl`	FOADA: Toward Robust Open-World Mobile App Fingerprinting. IEEE Trans. Inf. Forensics Secur. Jiajun Gong, Guotao Meng, Wei Cai, Siyuan Liang, Tao Wang, Ee-Chien Chang
2025	J	`jnl`	Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models. CoRR Yisong Xiao, Aishan Liu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models. Proc. ACM Softw. Eng. Yisong Xiao, Aishan Liu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. Int. J. Comput. Vis. Yisong Xiao, Xianglong Liu, Qianjia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Aishan Liu, Dacheng Tao
2025	J	`jnl`	Hard-Label Black-Box Adversarial Attacks for Implicit Scene Interactions. IEEE Trans. Inf. Forensics Secur. Muxue Liang, Chuan Wang, Siyuan Liang, Aishan Liu, Yanan Cao, Qingyong Li, Zeming Liu, Liang Yang, Xiaochun Cao
2025	A*	`conf`	ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks. ICML Zhiyao Ren, Siyuan Liang, Aishan Liu, Dacheng Tao
2025	J	`jnl`	ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks. CoRR Zhiyao Ren, Siyuan Liang, Aishan Liu, Dacheng Tao
2025	A*	`conf`	Interpreting Object-level Foundation Models via Visual Precision Search. CVPR Ruoyu Chen, Siyuan Liang, Jingzhi Li, Shiming Liu, Maosen Li, Zhen Huang, Hua Zhang, Xiaochun Cao
2025	J	`jnl`	Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. IEEE Trans. Inf. Forensics Secur. Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Jailbreaking the Text-to-Video Generative Models. CoRR Jiayang Liu, Siyuan Liang, Shiqian Zhao, Rongcheng Tu, Wenbo Zhou, Xiaochun Cao, Dacheng Tao, Siew Kei Lam
2025	J	`jnl`	Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection. CoRR Ruoyu Chen, Siyuan Liang, Jingzhi Li, Shiming Liu, Li Liu, Hua Zhang, Xiaochun Cao
2025	J	`jnl`	Lie Detector: Unified Backdoor Detection via Cross-Examination Framework. CoRR Xuan Wang, Siyuan Liang, Dongping Liao, Han Fang, Aishan Liu, Xiaochun Cao, Yu-liang Lu, Ee-Chien Chang, Xitong Gao
2025	A*	`conf`	Manipulating Multimodal Agents via Cross-Modal Prompt Injection. ACM Multimedia Le Wang, Zonghao Ying, Tianyuan Zhang, Siyuan Liang, Shengshan Hu, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025	J	`jnl`	Manipulating Multimodal Agents via Cross-Modal Prompt Injection. CoRR Le Wang, Zonghao Ying, Tianyuan Zhang, Siyuan Liang, Shengshan Hu, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025	A*	`conf`	MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving. ACM Multimedia Aishan Liu, Jiakai Wang, Tianyuan Zhang, Hainan Li, Jiangfan Liu, Siyuan Liang, Yilong Ren, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving. CoRR Aishan Liu, Jiakai Wang, Tianyuan Zhang, Hainan Li, Jiangfan Liu, Siyuan Liang, Yilong Ren, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving. CoRR Ming Liu, Siyuan Liang, Koushik Howlader, Liwen Wang, Dacheng Tao, Wensheng Zhang
2025	J	`jnl`	No Query, No Access. CoRR Wenqiang Wang, Siyuan Liang, Yangshijie Zhang, Xiaojun Jia, Hao Lin, Xiaochun Cao
2025	A*	`conf`	NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models. ICLR Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao
2025	A*	`conf`	Physical Adversarial Camouflage Through Gradient Calibration and Regularization. IJCAI Jiawei Liang, Siyuan Liang, Jianjie Huang, Chenxi Si, Ming Zhang, Xiaochun Cao
2025	J	`jnl`	Physical Adversarial Camouflage through Gradient Calibration and Regularization. CoRR Jiawei Liang, Siyuan Liang, Jianjie Huang, Chenxi Si, Ming Zhang, Xiaochun Cao
2025	J	`jnl`	Pre-trained Trojan Attacks for Visual Recognition. Int. J. Comput. Vis. Aishan Liu, Xianglong Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xiaochun Cao, Dacheng Tao
2025	J	`jnl`	PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation. CoRR Zonglei Jing, Xiao Yang, Xiaoqian Li, Siyuan Liang, Aishan Liu, Mingchuan Zhang, Xianglong Liu
2025	J	`jnl`	Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025. CoRR Zonghao Ying, Siyang Wu, Run Hao, Peng Ying, Shixuan Sun, Pengyu Chen, Junze Chen, Hao Du, Kaiwen Shen, Shangkun Wu, Jiwei Wei, Shiyuan He, Yang Yang, Xiaohai Xu, Ke Ma, Qianqian Xu, Qingming Huang, Shi Lin, Xun Wang, Changting Lin, Meng Han, Yilei Jiang, Siqi Lai, Yaozhi Zheng, Yifei Song, Xiangyu Yue, Zonglei Jing, Tianyuan Zhang, Zhilei Zhu, Aishan Liu, Jiakai Wang, Siyuan Liang, Xianglong Kong, Hainan Li, Junjie Mu, Haotong Qin, Yue Yu, Lei Chen, Felix Juefei-Xu, Qing Guo, Xinyun Chen, Yew Soon Ong, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip Torr, Dacheng Tao
2025	—	`conf`	Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models. EMNLP (Findings) Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models. CoRR Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Review of Hallucination Understanding in Large Language and Vision Models. CoRR Zheng Yi Ho, Siyuan Liang, Dacheng Tao
2025	A*	`conf`	Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift. CVPR Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Mingli Zhu, Xiaochun Cao, Dacheng Tao
2025	J	`jnl`	RoboView-Bias: Benchmarking Visual Bias in Embodied Agents for Robotic Manipulation. CoRR Enguang Liu, Siyuan Liang, Liming Lu, Xiyu Zeng, Xiaochun Cao, Aishan Liu, Shuchao Pang
2025	J	`jnl`	Robust Anti-Backdoor Instruction Tuning in LVLMs. CoRR Yuan Xun, Siyuan Liang, Xiaojun Jia, Xinwei Liu, Xiaochun Cao
2025	J	`jnl`	SMA: Who Said That? Auditing Membership Leakage in Semi-Black-box RAG Controlling. CoRR Shixuan Sun, Siyuan Liang, Ruoyu Chen, Jianjie Huang, Jingzhi Li, Xiaochun Cao
2025	J	`jnl`	SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs. CoRR Shuhan Xu, Siyuan Liang, Hongling Zheng, Yong Luo, Aishan Liu, Dacheng Tao
2025	J	`jnl`	SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents. CoRR Siyuan Liang, Tianmeng Fang, Zhe Liu, Aishan Liu, Yan Xiao, Jinyuan He, Ee-Chien Chang, Xiaochun Cao
2025	J	`jnl`	SafeSteer: Adaptive Subspace Steering for Efficient Jailbreak Defense in Vision-Language Models. CoRR Xiyu Zeng, Siyuan Liang, Liming Lu, Haotian Zhu, Enguang Liu, Jisheng Dang, Yongbin Zhou, Shuchao Pang
2025	J	`jnl`	Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments. CoRR Xuan Wang, Siyuan Liang, Zhe Liu, Yi Yu, Yuliang Lu, Xiaochun Cao, Ee-Chien Chang, Xitong Gao
2025	J	`jnl`	T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models. CoRR Siyuan Liang, Jiayang Liu, Jiecheng Zhai, Tianmeng Fang, Rongcheng Tu, Aishan Liu, Xiaochun Cao, Dacheng Tao
2025	J	`jnl`	Text Adversarial Attacks with Dynamic Outputs. CoRR Wenqiang Wang, Siyuan Liang, Yan Xiao, Xiaochun Cao
2025	J	`jnl`	Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance. CoRR Shuchao Pang, Zhenghan Chen, Shen Zhang, Liming Lu, Siyuan Liang, Anan Du, Yongbin Zhou
2025	J	`jnl`	Universal Camouflage Attack on Vision-Language Models for Autonomous Driving. CoRR Dehong Kong, Sifan Yu, Siyuan Liang, Jiawei Liang, Jianhou Gan, Aishan Liu, Wenqi Ren
2025	J	`jnl`	VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models. Int. J. Comput. Vis. Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaochun Cao
2025	J	`jnl`	Where MLLMs Attend and What They Rely On: Explaining Autoregressive Token Generation. CoRR Ruoyu Chen, Xiaoqing Guo, Kangwei Liu, Siyuan Liang, Shiming Liu, Qunli Zhang, Hua Zhang, Xiaochun Cao
2024	J	`jnl`	Adversarial Backdoor Defense in CLIP. CoRR Junhao Kuang, Siyuan Liang, Jiawei Liang, Kuanrong Liu, Xiaochun Cao
2024	J	`jnl`	BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. CoRR Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao
2024	A*	`conf`	BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. CVPR Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang
2024	A*	`conf`	Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. NeurIPS Mingli Zhu, Siyuan Liang, Baoyuan Wu
2024	J	`jnl`	Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. CoRR Mingli Zhu, Siyuan Liang, Baoyuan Wu
2024	J	`jnl`	CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning. CoRR Yuan Xun, Siyuan Liang, Xiaojun Jia, Xinwei Liu, Xiaochun Cao
2024	J	`jnl`	Compromising Embodied Agents with Contextual Backdoor Attacks. CoRR Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao
2024	J	`jnl`	CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models. CoRR Zhixiang Guo, Siyuan Liang, Aishan Liu, Dacheng Tao
2024	A*	`conf`	Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao
2024	J	`jnl`	Does Few-shot Learning Suffer from Backdoor Attacks? CoRR Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao
2024	J	`jnl`	Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats. CoRR Kuanrong Liu, Siyuan Liang, Jiawei Liang, Pengwen Dai, Xiaochun Cao
2024	J	`jnl`	Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection. CoRR Dehong Kong, Siyuan Liang, Wenqi Ren
2024	J	`jnl`	GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. CoRR Yisong Xiao, Aishan Liu, Qianjia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao
2024	A*	`conf`	Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds. CVPR Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao
2024	J	`jnl`	Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds. CoRR Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao
2024	J	`jnl`	Interpreting Object-level Foundation Models via Visual Precision Search. CoRR Ruoyu Chen, Siyuan Liang, Jingzhi Li, Shiming Liu, Maosen Li, Zheng Huang, Hua Zhang, Xiaochun Cao
2024	J	`jnl`	Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. CoRR Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. CoRR Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao
2024	A*	`conf`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu
2024	A*	`conf`	Less is More: Fewer Interpretable Region via Submodular Subset Selection. ICLR Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao
2024	J	`jnl`	Less is More: Fewer Interpretable Region via Submodular Subset Selection. CoRR Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao
2024	J	`jnl`	Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving. CoRR Tianyuan Zhang, Lu Wang, Jiaqi Kang, Xinwei Zhang, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu
2024	A*	`conf`	Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. ACM Multimedia Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao
2024	J	`jnl`	Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. CoRR Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao
2024	J	`jnl`	NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models. CoRR Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao
2024	J	`jnl`	Object Detectors in the Open Environment: Challenges, Solutions, and Outlook. CoRR Siyuan Liang, Wei Wang, Ruoyu Chen, Aishan Liu, Boxi Wu, Ee-Chien Chang, Xiaochun Cao, Dacheng Tao
2024	J	`jnl`	Patch is Enough: Naturalistic Adversarial Patch against Vision-Language Pre-training Models. CoRR Dehong Kong, Siyuan Liang, Xiaopeng Zhu, Yuansheng Zhong, Wenqi Ren
2024	J	`jnl`	Patch is enough: naturalistic adversarial patch against vision-language pre-training models. Vis. Intell. Dehong Kong, Siyuan Liang, Xiaopeng Zhu, Yuansheng Zhong, Wenqi Ren
2024	A*	`conf`	Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. ICLR Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
2024	J	`jnl`	Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. CoRR Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao
2024	J	`jnl`	Red Pill and Blue Pill: Controllable Website Fingerprinting Defense via Dynamic Backdoor Learning. CoRR Siyuan Liang, Jiajun Gong, Tianmeng Fang, Aishan Liu, Tao Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao, Ee-Chien Chang
2024	J	`jnl`	Revisiting Backdoor Attacks against Large Vision-Language Models. CoRR Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Ee-Chien Chang, Xiaochun Cao
2024	J	`jnl`	SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. CoRR Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs. CoRR Xiaoxia Li, Siyuan Liang, Jiyi Zhang, Han Fang, Aishan Liu, Ee-Chien Chang
2024	—	`conf`	Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis. ICPR (24) Xianda Zhang, Siyuan Liang, Chengyang Li
2024	A*	`conf`	Towards Robust Physical-world Backdoor Attacks on Lane Detection. ACM Multimedia Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu
2024	J	`jnl`	Towards Robust Physical-world Backdoor Attacks on Lane Detection. CoRR Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu
2024	J	`jnl`	Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning. CoRR Siyuan Liang, Kuanrong Liu, Jiajun Gong, Jiawei Liang, Yuan Xun, Ee-Chien Chang, Xiaochun Cao
2024	J	`jnl`	VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models. CoRR Jiawei Liang, Siyuan Liang, Man Luo, Aishan Liu, Dongchen Han, Ee-Chien Chang, Xiaochun Cao
2024	J	`jnl`	Visual Adversarial Attack on Vision-Language Models for Autonomous Driving. CoRR Tianyuan Zhang, Lu Wang, Xinwei Zhang, Yitong Zhang, Boyi Jia, Siyuan Liang, Shengshan Hu, Qiang Fu, Aishan Liu, Xianglong Liu
2023	A*	`conf`	Exploring Inconsistent Knowledge Distillation for Object Detection with Data Augmentation. ACM Multimedia Jiawei Liang, Siyuan Liang, Aishan Liu, Ke Ma, Jingzhi Li, Xiaochun Cao
2023	A*	`conf`	Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. CVPR Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao
2023	A*	`conf`	Face Encryption via Frequency-Restricted Identity-Agnostic Attacks. ACM Multimedia Xin Dong, Rui Wang, Siyuan Liang, Aishan Liu, Lihua Jing
2023	A*	`conf`	Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization. AAAI Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao
2023	A*	`conf`	Improving Robust Fariness via Balance Adversarial Training. AAAI Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
2023	A*	`conf`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	J	`jnl`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. CoRR Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	J	`jnl`	Pre-trained Trojan Attacks for Visual Recognition. CoRR Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao
2023	J	`jnl`	Privacy-Enhancing Face Obfuscation Guided by Semantic-Aware Attribution Maps. IEEE Trans. Inf. Forensics Secur. Jingzhi Li, Hua Zhang, Siyuan Liang, Pengwen Dai, Xiaochun Cao
2023	J	`jnl`	SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation. CoRR Bangyan He, Xiaojun Jia, Siyuan Liang, Tianrui Lou, Yang Liu, Xiaochun Cao
2023	A*	`conf`	X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
2023	J	`jnl`	X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. CoRR Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
2022	—	`conf`	A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. ECCV (4) Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao
2022	J	`jnl`	A Large-scale Multiple-objective Method for Black-box Attack against Object Detection. CoRR Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao
2022	J	`jnl`	Adaptive Perturbation Generation for Multiple Backdoors Detection. CoRR Yuhang Wang, Huafeng Shi, Rui Min, Ruijia Wu, Siyuan Liang, Yichao Wu, Ding Liang, Aishan Liu
2022	J	`jnl`	Exploring the Relationship between Architecture and Adversarially Robust Generalization. CoRR Shiyu Tang, Siyuan Liang, Ruihao Gong, Aishan Liu, Xianglong Liu, Dacheng Tao
2022	A*	`conf`	Imitated Detectors: Stealing Knowledge of Black-box Object Detectors. ACM Multimedia Siyuan Liang, Aishan Liu, Jiawei Liang, Longkang Li, Yang Bai, Xiaochun Cao
2022	J	`jnl`	Improving Robust Fairness via Balance Adversarial Training. CoRR Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
2022	J	`jnl`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu
2022	J	`jnl`	Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. CoRR Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao
2022	J	`jnl`	Rethinking Data Augmentation in Knowledge Distillation for Object Detection. CoRR Jiawei Liang, Siyuan Liang, Aishan Liu, Mingli Zhu, Danni Yuan, Chenye Xu, Xiaochun Cao
2021	A*	`conf`	Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. ICCV Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao
2020	—	`conf`	Efficient Adversarial Attacks for Visual Object Tracking. ECCV (26) Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao
2020	J	`jnl`	Efficient Adversarial Attacks for Visual Object Tracking. CoRR Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao
2019	A*	`conf`	Transferable Adversarial Attacks for Image and Video Object Detection. IJCAI Xingxing Wei, Siyuan Liang, Ning Chen, Xiaochun Cao
2018	J	`jnl`	Transferable Adversarial Attacks for Image and Video Object Detection. CoRR Xingxing Wei, Siyuan Liang, Xiaochun Cao, Jun Zhu