Kun Yang

Kun Yang

ZJU100 professor at college of computer science and technology, Zhejiang University, China.

A ZJU100 professor at college of computer science and technology, Zhejiang University, China. He received his Ph.D. from the University of Florida, USA, in 2018. He previously served as a Senior Security Architect at NVIDIA Corporation. His research focuses on secure chip architectures, hardware-software integrated security architectures, and intelligent connected vehicle security. He has published numerous research papers in leading journals and conferences, such as TCAD, TC, DAC, ICCAD, HOST, BlackHat USA, etc. He was honored with the sole first-place Best Paper Award at the 2020 NVIDIA NTECH Conference, and received a Best Paper Award Nomination at the 2016 IEEE HOST. He has collaborated with multiple leading enterprises and research institutions, including Huawei, Ant Group, Horizon Robotics, H3C, Zeekr, Geely, etc. Organizing experience: He has served as Conference Chair or Forum Chair at multiple international conferences, including the Program Committee Chair of the 7th International Conference on Circuits and Systems (ICCS 2025) and the Forum Chair of the 7th International Test Conference in Asia (ITC-Asia 2024). Selected Paper: Kun Yang, Domenic Forte, Mark M Tehranipoor. UCR: An unclonable chipless RFID tag. HOST 2016 (Best Paper Award Nomination) Kun Yang, Vienna Pan, Yuji Qian, Dave Wu, Ethan Wang, Shawn Hu, Carol Yao, Charles Wang, Joe Xie, Paul Chou. Crypto Accelerator DPA Resistance Evaluation and Enhancement. NVIDIA 2020 NTECH Conference (First-place Best Paper Award) Zhiyuan Chen, Kun Yang, and Kui Ren, CDS: An Anti-Aging Calibratable Digital Sensor for Detecting Multiple Types of Fault Injection Attacks. DAC 2024 Qianmei Wu, Fan Zhang, Shize Guo, Kun Yang, Haoting Shen. A Unified and Fully Automated Framework for Wavelet-based Attacks on Random Delay. TC 2024 Fan Zhang, Junge Xu, Wenguang Jin, Kun Yang, Zeke Wang, Weixiong Jiang, Yajun Ha. A Deep Investigation on Stealthy DVFS Fault Injection Attacks at DNN Hardware Accelerators. TCAD 2024

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