Xiaosen Wang - RankMe

54 papers A* 10A 5Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alleviating noise memorization for adversarially robust few-shot learning. Neural Networks Yiman Hu, Yixiong Zou, Xiaosen Wang, Yuhua Li, Kun He, Ruixuan Li
2026	J	`jnl`	Devling into Adversarial Transferability on Image Classification: Review, Benchmark, and Evaluation. CoRR Xiaosen Wang, Zhijin Ge, Bohan Liu, Zheng Fang, Fengfan Zhou, Ruixuan Zhang, Shaokang Wang, Yuyang Luo
2025	J	`jnl`	Attention! You Vision Language Model Could Be Maliciously Manipulated. CoRR Xiaosen Wang, Shaokang Wang, Zhijin Ge, Yuyang Luo, Shudong Zhang
2025	J	`jnl`	Boosting the Local Invariance for Better Adversarial Transferability. CoRR Bohan Liu, Xiaosen Wang
2025	J	`jnl`	Disrupting Semantic and Abstract Features for Better Adversarial Transferability. CoRR Yuyang Luo, Xiaosen Wang, Zhijin Ge, Yingzhe He
2025	J	`jnl`	GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models. CoRR Zilong Wang, Xiang Zheng, Xiaosen Wang, Bo Wang, Xingjun Ma, Yu-Gang Jiang
2025	J	`jnl`	Reinforced Diffuser for Red Teaming Large Vision-Language Models. CoRR Ruofan Wang, Xiang Zheng, Xiaosen Wang, Cong Wang, Xingjun Ma
2025	J	`jnl`	Security Risk of Misalignment between Text and Image in Multi-modal Model. CoRR Xiaosen Wang, Zhijin Ge, Shaokang Wang
2025	J	`jnl`	ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers. CoRR Hanwen Cao, Haobo Lu, Xiaosen Wang, Kun He
2024	J	`jnl`	Bag of Tricks to Boost Adversarial Transferability. CoRR Zeliang Zhang, Rongyi Zhu, Wei Yao, Xiaosen Wang, Chenliang Xu
2024	A*	`conf`	Boosting Adversarial Transferability by Block Shuffle and Rotation. CVPR Kunyu Wang, Xuanran He, Wenxuan Wang, Xiaosen Wang
2024	J	`jnl`	DiffPatch: Generating Customizable Adversarial Patches using Diffusion Model. CoRR Zhixiang Wang, Guangnan Ye, Xiaosen Wang, Siheng Chen, Zhibo Wang, Xingjun Ma, Yu-Gang Jiang
2024	J	`jnl`	IDEATOR: Jailbreaking Large Vision-Language Models Using Themselves. CoRR Ruofan Wang, Bo Wang, Xiaosen Wang, Xingjun Ma, Yu-Gang Jiang
2024	A*	`conf`	MMA-Diffusion: MultiModal Attack on Diffusion Models. CVPR Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Tsung-Yi Ho, Nan Xu, Qiang Xu
2023	A*	`conf`	Boosting Adversarial Transferability by Achieving Flat Local Maxima. NeurIPS Zhijin Ge, Xiaosen Wang, Hongying Liu, Fanhua Shang, Yuanyuan Liu
2023	J	`jnl`	Boosting Adversarial Transferability by Achieving Flat Local Maxima. CoRR Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Xiaosen Wang
2023	J	`jnl`	Boosting Adversarial Transferability by Block Shuffle and Rotation. CoRR Kunyu Wang, Xuanran He, Wenxuan Wang, Xiaosen Wang
2023	A	`conf`	Diversifying the High-level Features for better Adversarial Transferability. BMVC Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, Xiaosen Wang
2023	J	`jnl`	Diversifying the High-level Features for better Adversarial Transferability. CoRR Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, Xiaosen Wang
2023	J	`jnl`	Generating Visually Realistic Adversarial Patch. CoRR Xiaosen Wang, Kunyu Wang
2023	J	`jnl`	Improving Adversarial Transferability with Scheduled Step Size and Dual Example. CoRR Zeliang Zhang, Peihan Liu, Xiaosen Wang, Chenliang Xu
2023	A*	`conf`	Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer. ACM Multimedia Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang
2023	J	`jnl`	Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer. CoRR Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang
2023	A*	`conf`	Improving the Transferability of Adversarial Samples by Path-Augmented Method. CVPR Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu
2023	J	`jnl`	Improving the Transferability of Adversarial Samples by Path-Augmented Method. CoRR Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu
2023	J	`jnl`	MMA-Diffusion: MultiModal Attack on Diffusion Models. CoRR Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Nan Xu, Qiang Xu
2023	J	`jnl`	Rethinking Mixup for Improving the Adversarial Transferability. CoRR Xiaosen Wang, Zeyuan Yin
2023	A*	`conf`	Rethinking the Backward Propagation for Adversarial Transferability. NeurIPS Xiaosen Wang, Kangheng Tong, Kun He
2023	J	`jnl`	Rethinking the Backward Propagation for Adversarial Transferability. CoRR Xiaosen Wang, Kangheng Tong, Kun He
2023	A*	`conf`	Structure Invariant Transformation for better Adversarial Transferability. ICCV Xiaosen Wang, Zeliang Zhang, Jianping Zhang
2023	J	`jnl`	Structure Invariant Transformation for better Adversarial Transferability. CoRR Xiaosen Wang, Zeliang Zhang, Jianping Zhang
2022	A	`conf`	Detecting textual adversarial examples through randomized substitution and vote. UAI Xiaosen Wang, Yifeng Xiong, Kun He
2022	J	`jnl`	Learning-based Hybrid Local Search for the Hard-label Textual Attack. CoRR Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He
2022	J	`jnl`	Robust Textual Embedding against Word-level Adversarial Attacks. CoRR Yichen Yang, Xiaosen Wang, Kun He
2022	A	`conf`	Robust textual embedding against word-level adversarial attacks. UAI Yichen Yang, Xiaosen Wang, Kun He
2022	—	`conf`	TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack. EMNLP (Findings) Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He
2022	—	`conf`	Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack. ECCV (5) Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu
2021	A*	`conf`	Admix: Enhancing the Transferability of Adversarial Attacks. ICCV Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He
2021	J	`jnl`	Admix: Enhancing the Transferability of Adversarial Attacks. CoRR Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He
2021	A*	`conf`	Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. AAAI Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
2021	A	`conf`	Boosting Adversarial Transferability through Enhanced Momentum. BMVC Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He
2021	J	`jnl`	Boosting Adversarial Transferability through Enhanced Momentum. CoRR Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He
2021	A*	`conf`	Enhancing the Transferability of Adversarial Attacks Through Variance Tuning. CVPR Xiaosen Wang, Kun He
2021	J	`jnl`	Enhancing the Transferability of Adversarial Attacks through Variance Tuning. CoRR Xiaosen Wang, Kun He
2021	J	`jnl`	Multi-stage Optimization based Adversarial Training. CoRR Xiaosen Wang, Chuanbiao Song, Liwei Wang, Kun He
2021	A	`conf`	Natural language adversarial defense through synonym encoding. UAI Xiaosen Wang, Jin Hao, Yichen Yang, Kun He
2021	J	`jnl`	Randomized Substitution and Vote for Textual Adversarial Example Detection. CoRR Xiaosen Wang, Yifeng Xiong, Kun He
2021	J	`jnl`	Triangle Attack: A Query-efficient Decision-based Adversarial Attack. CoRR Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu
2020	J	`jnl`	Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks. CoRR Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He
2019	J	`jnl`	A New Anchor Word Selection Method for the Separable Topic Discovery. CoRR Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft
2019	J	`jnl`	A new anchor word selection method for the separable topic discovery. WIREs Data Mining Knowl. Discov. Kun He, Wu Wang, Xiaosen Wang, John E. Hopcroft
2019	J	`jnl`	AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. CoRR Xiaosen Wang, Kun He, John E. Hopcroft
2019	—	`conf`	Multi-task Deep Learning for Child Gender and Age Determination on Hand Radiographs. CCBR Mumtaz A. Kaloi, Xiaosen Wang, Kun He
2019	J	`jnl`	Natural Language Adversarial Attacks and Defenses in Word Level. CoRR Xiaosen Wang, Hao Jin, Kun He