| 2025 | CCS | SecAlign: Defending Against Prompt Injection with Preference Optimization. | Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, David A. Wagner, Chuan Guo |
| 2025 | CHI | ClueCart: Supporting Game Story Interpretation and Narrative Inference from Fragmented Clues. | Xiyuan Wang, Yifan Cao, Junjie Xiong, Sizhe Chen, Wenxuan Li, Junjie Zhang, Quan Li |
| 2025 | IUI | Prefer2SD: A Human-in-the-Loop Approach to Balancing Similarity and Diversity in In-Game Friend Recommendations. | Xiyuan Wang, Ziang Li, Sizhe Chen, Xingxing Xing, Wei Wan, Quan Li |
| 2024 | ESORICS | Jatmo: Prompt Injection Defense by Task-Specific Finetuning. | Julien Piet, Maha Alrashed, Chawin Sitawarin, Sizhe Chen, Zeming Wei, Elizabeth Sun, Basel Alomair, David A. Wagner |
| 2024 | PRICAI | An Instance and Cloud Masks Guided Multi-source Fusion Network for Remote Sensing Object Detection. | Shouhong Wan, Sizhe Chen, Xiaoting Li, Peiquan Jin |
| 2023 | CVPR | Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. | Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang |
| 2023 | ICASSP | Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm. | Sizhe Chen, Qinghua Tao, Zhixing Ye, Xiaolin Huang |
| 2023 | ICLR | Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. | Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang |
| 2023 | ICLR | One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks. | Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang |
| 2022 | CVPR | Subspace Adversarial Training. | Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang |
| 2022 | ICONIP | Mutual Diverse-Label Adversarial Training. | Mingzhe Li, Sizhe Chen, Xiaolin Huang |
| 2020 | ICIP | Type I Attack For Generative Models. | Chengjin Sun, Sizhe Chen, Jia Cai, Xiaolin Huang |
| 2015 | IGARSS | Application of deep-learning algorithms to MSTAR data. | Haipeng Wang, Sizhe Chen, Feng Xu, Ya-Qiu Jin |
| 2014 | DSAA | SAR target recognition based on deep learning. | Sizhe Chen, Haipeng Wang |