| 2026 | AAAI | Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs. | Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo, Kaichen Yang |
| 2025 | CVPR | PIAD: Pose and Illumination agnostic Anomaly Detection. | Kaichen Yang, Junjie Cao, Zeyu Bai, Zhixun Su, Andrea Tagliasacchi |
| 2025 | ICCAD | Building Reasoning LLMs for Hardware Design Generation via Function-Aligned Differentiated Revision. | Weimin Fu, Shijie Li, Kaichen Yang, Xuan Silvia Zhang, Yier Jin, Xiaolong Guo |
| 2024 | ASPDAC | Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge. | Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Gautam Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo |
| 2021 | AsiaCCS | Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules. | Kaichen Yang, Tzungyu Tsai, Honggang Yu, Max Panoff, Tsung-Yi Ho, Yier Jin |
| 2021 | DAC | 3D-Adv: Black-Box Adversarial Attacks against Deep Learning Models through 3D Sensors. | Kaichen Yang, Xuan-Yi Lin, Yixin Sun, Tsung-Yi Ho, Yier Jin |
| 2020 | AAAI | Robust Adversarial Objects against Deep Learning Models. | Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, Yier Jin |
| 2020 | AAAI | Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World. | Kaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho, Yier Jin |
| 2020 | NDSS | CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. | Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin |