Sizhe Chen - RankMe

53 papers A* 7A 1B 2C 1Misc 1Journal 33Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Co-MedGraphRAG: A Collaborative Large-Small Model Medical Question-Answering Framework Enhanced by Knowledge Graph Reasoning. Inf. Sizhe Chen, Tao Chen
2025	A*	`conf`	ClueCart: Supporting Game Story Interpretation and Narrative Inference from Fragmented Clues. CHI Xiyuan Wang, Yi-Fan Cao, Junjie Xiong, Sizhe Chen, Wenxuan Li, Junjie Zhang, Quan Li
2025	J	`jnl`	ClueCart: Supporting Game Story Interpretation and Narrative Inference from Fragmented Clues. CoRR Xiyuan Wang, Yi-Fan Cao, Junjie Xiong, Sizhe Chen, Wenxuan Li, Junjie Zhang, Quan Li
2025	—	`conf`	Defending Against Prompt Injection With a Few DefensiveTokens. AISec@CCS Sizhe Chen, Yizhu Wang, Nicholas Carlini, Chawin Sitawarin, David A. Wagner
2025	J	`jnl`	Defending Against Prompt Injection With a Few DefensiveTokens. CoRR Sizhe Chen, Yizhu Wang, Nicholas Carlini, Chawin Sitawarin, David A. Wagner
2025	J	`jnl`	Defending Against Prompt Injection with DataFilter. CoRR Yizhu Wang, Sizhe Chen, Raghad Alkhudair, Basel Alomair, David A. Wagner
2025	J	`jnl`	Meta SecAlign: A Secure Foundation LLM Against Prompt Injection Attacks. CoRR Sizhe Chen, Arman Zharmagambetov, David A. Wagner, Chuan Guo
2025	A	`conf`	Prefer2SD: A Human-in-the-Loop Approach to Balancing Similarity and Diversity in In-Game Friend Recommendations. IUI Xiyuan Wang, Ziang Li, Sizhe Chen, Xingxing Xing, Wei Wan, Quan Li
2025	J	`jnl`	Prefer2SD: A Human-in-the-Loop Approach to Balancing Similarity and Diversity in In-Game Friend Recommendations. CoRR Xiyuan Wang, Ziang Li, Sizhe Chen, Xingxing Xing, Wei Wan, Quan Li
2025	A*	`conf`	SecAlign: Defending Against Prompt Injection with Preference Optimization. CCS Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, David A. Wagner, Chuan Guo
2025	A*	`conf`	StruQ: Defending Against Prompt Injection with Structured Queries. USENIX Security Symposium Sizhe Chen, Julien Piet, Chawin Sitawarin, David A. Wagner
2024	J	`jnl`	Aligning LLMs to Be Robust Against Prompt Injection. CoRR Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, Chuan Guo
2024	—	`conf`	An Instance and Cloud Masks Guided Multi-source Fusion Network for Remote Sensing Object Detection. PRICAI (3) Shouhong Wan, Sizhe Chen, Xiaoting Li, Peiquan Jin
2024	—	`conf`	Jatmo: Prompt Injection Defense by Task-Specific Finetuning. ESORICS (1) Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, David A. Wagner
2024	J	`jnl`	Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
2024	J	`jnl`	StruQ: Defending Against Prompt Injection with Structured Queries. CoRR Sizhe Chen, Julien Piet, Chawin Sitawarin, David A. Wagner
2023	J	`jnl`	Can LLMs Follow Simple Rules? CoRR Norman Mu, Sarah Li Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, David A. Wagner
2023	—	`conf`	Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CVPR Workshops Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang
2023	J	`jnl`	Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CoRR Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang
2023	J	`jnl`	Jatmo: Prompt Injection Defense by Task-Specific Finetuning. CoRR Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, David A. Wagner
2023	Misc	`conf`	Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. ICASSP Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
2023	A*	`conf`	One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. ICLR Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang
2023	J	`jnl`	Seasonal Effect of the Vegetation Clumping Index on Gross Primary Productivity Estimated by a Two-Leaf Light Use Efficiency Model. Remote. Sens. Zhilong Li, Ziti Jiao, Chenxia Wang, Siyang Yin, Jing Guo, Yidong Tong, Ge Gao, Zheyou Tan, Sizhe Chen
2023	A*	`conf`	Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. ICLR Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
2023	J	`jnl`	Unifying Gradients to Improve Real-World Robustness for Deep Networks. ACM Trans. Intell. Syst. Technol. Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2022	A*	`conf`	Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. NeurIPS Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022	J	`jnl`	Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. CoRR Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022	—	`conf`	Mutual Diverse-Label Adversarial Training. ICONIP (1) Mingzhe Li, Sizhe Chen, Xiaolin Huang
2022	J	`jnl`	One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks. CoRR Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang
2022	J	`jnl`	Relevance attack on detectors. Pattern Recognit. Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang
2022	J	`jnl`	Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. CoRR Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
2022	J	`jnl`	Soil Moisture Retrieval from the CyGNSS Data Based on a Bilinear Regression. Remote. Sens. Sizhe Chen, Qingyun Yan, Shuanggen Jin, Weimin Huang, Tiexi Chen, Yan Jia, Shuci Liu, Qing Cao
2022	A*	`conf`	Subspace Adversarial Training. CVPR Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2022	J	`jnl`	Unifying Gradients to Improve Real-world Robustness for Deep Networks. CoRR Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2022	J	`jnl`	Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. IEEE Trans. Pattern Anal. Mach. Intell. Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang
2021	—	`conf`	Colonoscopic Image Synthesis For Polyp Detector Enhancement Via Gan And Adversarial Training. ISBI Fan He, Sizhe Chen, Shuaiyi Li, Lu Zhou, Haiqin Zhang, Haixia Peng, Xiaolin Huang
2021	J	`jnl`	Dominant Patterns: Critical Features Hidden in Deep Neural Networks. CoRR Zhixing Ye, Shaofei Qin, Sizhe Chen, Xiaolin Huang
2021	J	`jnl`	Going Far Boosts Attack Transferability, but Do Not Do It. CoRR Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang
2021	—	`conf`	Improvement of AnyNet-based end-to-end phased binocular stereo matching network. ITQM Sizhe Chen, Daji Ergu, Bo Ma, Ying Cai, Fangyao Liu
2021	J	`jnl`	QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. CoRR Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
2021	J	`jnl`	Subspace Adversarial Training. CoRR Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang
2020	J	`jnl`	Attack on Multi-Node Attention for Object Detection. CoRR Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang
2020	J	`jnl`	Double Backpropagation for Training Autoencoders against Adversarial Attack. CoRR Chengjin Sun, Sizhe Chen, Xiaolin Huang
2020	J	`jnl`	Generate High-Resolution Adversarial Samples by Identifying Effective Features. CoRR Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang
2020	B	`conf`	Type I Attack For Generative Models. ICIP Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang
2020	J	`jnl`	Type I Attack for Generative Models. CoRR Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang
2020	J	`jnl`	Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. CoRR Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang
2019	—	`conf`	A Line Extraction Process Based on Noise Elimination and a Novel Benchmark in Jensen-Shannon Divergence. CIS/RAM Peidong Zhang, Sizhe Chen, Jingshi Yao
2019	J	`jnl`	DAmageNet: A Universal Adversarial Dataset. CoRR Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun
2018	J	`jnl`	SAR Automatic Target Recognition Using a Roto-Translational Invariant Wavelet-Scattering Convolution Network. Remote. Sens. Haipeng Wang, Suo Li, Yu Zhou, Sizhe Chen
2016	J	`jnl`	Target Classification Using the Deep Convolutional Networks for SAR Images. IEEE Trans. Geosci. Remote. Sens. Sizhe Chen, Haipeng Wang, Feng Xu, Ya-Qiu Jin
2015	C	`conf`	Application of deep-learning algorithms to MSTAR data. IGARSS Haipeng Wang, Sizhe Chen, Feng Xu, Ya-Qiu Jin
2014	B	`conf`	SAR target recognition based on deep learning. DSAA Sizhe Chen, Haipeng Wang