Xiaosen Wang

According to our database, Xiaosen Wang authored at least 32 papers between 2019 and 2024.

Collaborative distances:

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

2024

DiffPatch: Generating Customizable Adversarial Patches using Diffusion Model.

Zhixiang Wang, Guangnan Ye, Xiaosen Wang, Siheng Chen, Zhibo Wang, Xingjun Ma, Yu-Gang Jiang

CoRR, 2024

IDEATOR: Jailbreaking Large Vision-Language Models Using Themselves.

Ruofan Wang, Bo Wang, Xiaosen Wang, Xingjun Ma, Yu-Gang Jiang

CoRR, 2024

Bag of Tricks to Boost Adversarial Transferability.

Zeliang Zhang, Rongyi Zhu, Wei Yao, Xiaosen Wang, Chenliang Xu

CoRR, 2024

MMA-Diffusion: MultiModal Attack on Diffusion Models.

Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Tsung-Yi Ho, Nan Xu, Qiang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Boosting Adversarial Transferability by Block Shuffle and Rotation.

Kunyu Wang, Xuanran He, Wenxuan Wang, Xiaosen Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Generating Visually Realistic Adversarial Patch.

Xiaosen Wang, Kunyu Wang

CoRR, 2023

MMA-Diffusion: MultiModal Attack on Diffusion Models.

Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Nan Xu, Qiang Xu

CoRR, 2023

Rethinking Mixup for Improving the Adversarial Transferability.

Xiaosen Wang, Zeyuan Yin

CoRR, 2023

Structure Invariant Transformation for better Adversarial Transferability.

Xiaosen Wang, Zeliang Zhang, Jianping Zhang

CoRR, 2023

Improving Adversarial Transferability with Scheduled Step Size and Dual Example.

Zeliang Zhang, Peihan Liu, Xiaosen Wang, Chenliang Xu

CoRR, 2023

Rethinking the Backward Propagation for Adversarial Transferability.

Xiaosen Wang, Kangheng Tong, Kun He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Adversarial Transferability by Achieving Flat Local Maxima.

Zhijin Ge, Xiaosen Wang, Hongying Liu, Fanhua Shang, Yuanyuan Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.

Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang

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

Structure Invariant Transformation for better Adversarial Transferability.

Xiaosen Wang, Zeliang Zhang, Jianping Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving the Transferability of Adversarial Samples by Path-Augmented Method.

Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Diversifying the High-level Features for better Adversarial Transferability.

Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, Xiaosen Wang

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Learning-based Hybrid Local Search for the Hard-label Textual Attack.

Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He

CoRR, 2022

Detecting textual adversarial examples through randomized substitution and vote.

Xiaosen Wang, Yifeng Xiong, Kun He

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Robust textual embedding against word-level adversarial attacks.

Yichen Yang, Xiaosen Wang, Kun He

Proceedings of the Uncertainty in Artificial Intelligence, 2022

TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack.

Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack.

Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Randomized Substitution and Vote for Textual Adversarial Example Detection.

Xiaosen Wang, Yifeng Xiong, Kun He

CoRR, 2021

Multi-stage Optimization based Adversarial Training.

Xiaosen Wang, Chuanbiao Song, Liwei Wang, Kun He

CoRR, 2021

Natural language adversarial defense through synonym encoding.

Xiaosen Wang, Jin Hao, Yichen Yang, Kun He

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Admix: Enhancing the Transferability of Adversarial Attacks.

Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Enhancing the Transferability of Adversarial Attacks Through Variance Tuning.

Xiaosen Wang, Kun He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Boosting Adversarial Transferability through Enhanced Momentum.

Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks.

Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

A new anchor word selection method for the separable topic discovery.

Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft

WIREs Data Mining Knowl. Discov., 2019

Natural Language Adversarial Attacks and Defenses in Word Level.

Xiaosen Wang, Hao Jin, Kun He

CoRR, 2019

AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets.

Xiaosen Wang, Kun He, John E. Hopcroft

CoRR, 2019

Multi-task Deep Learning for Child Gender and Age Determination on Hand Radiographs.

Mumtaz A. Kaloi, Xiaosen Wang, Kun He

Proceedings of the Biometric Recognition - 14th Chinese Conference, 2019