Benchmarking the Robustness of Quantized Models. - Yisong Xiao; Tianyuan Zhang 004; Shunchang Liu; Haotong Qin (CoRR, 2023)

Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection. - Tianyuan Zhang 004; Yisong Xiao; Xiaoya Zhang; Hao Li; Lu Wang (CoRR, 2023)

Exploring the Physical World Adversarial Robustness of Vehicle Detection. - Wei Jiang; Tianyuan Zhang 004; Shuangcheng Liu; Weiyu Ji; Zichao Zhang; Gang Xiao (CoRR, 2023)

Cloud Workload Turning Points Prediction via Cloud Feature-Enhanced Deep Learning. - Li Ruan; Yu Bai; Shaoning Li; Jiaxun Lv; Tianyuan Zhang 004; Limin Xiao; Haiguang Fang; Chunhao Wang; Yunzhi Xue (IEEE Trans. Cloud Comput., 2023)

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

Enhancing the Transferability of Adversarial Attacks with Stealth Preservation. - Xinwei Zhang; Tianyuan Zhang 004; Yitong Zhang; Shuangcheng Liu (CVPR Workshops, 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)

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

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)

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)

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)

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)

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)

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)