Yisong Xiao

According to our database, Yisong Xiao authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking.

Quanchen Zou, Zonghao Ying, Moyang Chen, Wenzhuo Xu, Yisong Xiao, Yakai Li, Deyue Zhang, Dongdong Yang, Zhao Liu, Xiangzheng Zhang

CoRR, July, 2025

Pre-trained Trojan Attacks for Visual Recognition.

Aishan Liu, Xianglong Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xiaochun Cao, Dacheng Tao

Int. J. Comput. Vis., June, 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, Dacheng Tao

CoRR, February, 2025

Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models.

Yisong Xiao, Aishan Liu, Siyuan Liang, Xianglong Liu, Dacheng Tao

Proc. ACM Softw. Eng., 2025

BDefects4NN: 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

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

IEEE Trans. Multim., 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, Dacheng Tao

CoRR, 2024

LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions.

Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao

CoRR, 2024

<i>LanEvil</i>: Benchmarking the Robustness of Lane Detection to Environmental Illusions.

Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

RobustMQ: benchmarking robustness of quantized models.

Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu

Vis. Intell., 2023

Boosting Cross-task Transferability of Adversarial Patches with Visual Relations.

Tony Ma, Songze Li, Yisong Xiao, Shunchang Liu

CoRR, 2023

Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection.

Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang, Hao Li, Lu Wang

CoRR, 2023

Benchmarking the Robustness of Quantized Models.

Yisong Xiao, Tianyuan Zhang, Shunchang Liu, Haotong Qin

CoRR, 2023

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks.

Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing.

Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2021

Improving Generalization of Deepfake Detection with Domain Adaptive Batch Normalization.

Zixin Yin, Jiakai Wang, Yifu Ding, Yisong Xiao, Jun Guo, Renshuai Tao, Haotong Qin

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021