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Kaichen Yang
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2020 – today
- 2024
- [c13]Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Gautam Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo:
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge. ASPDAC 2024: 349-354 - [i2]Weimin Fu, Kaichen Yang, Raj Gautam Dutta, Xiaolong Guo, Gang Qu:
LLM4SecHW: Leveraging Domain Specific Large Language Model for Hardware Debugging. CoRR abs/2401.16448 (2024) - [i1]Weimin Fu, Shijie Li, Yifang Zhao, Haocheng Ma, Raj Gautam Dutta, Xuan Zhang, Kaichen Yang, Yier Jin, Xiaolong Guo:
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge. CoRR abs/2402.01728 (2024) - 2023
- [j2]Cheng Fan, Zhaohui Wang, Kaichen Yang:
Energy-efficient underwater acoustic communication based on Dyna-Q with an adaptive action space. Phys. Commun. 61: 102218 (2023) - [c12]Weimin Fu, Kaichen Yang, Raj Gautam Dutta, Xiaolong Guo, Gang Qu:
LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging. AsianHOST 2023: 1-6 - [c11]Honggang Yu, Shuo Wang, Haoqi Shan, Maximillian Panoff, Michael Lee, Kaichen Yang, Yier Jin:
Dual-Leak: Deep Unsupervised Active Learning for Cross-Device Profiled Side-Channel Leakage Analysis. HOST 2023: 144-154 - 2022
- [c10]Weimin Fu, Honggang Yu, Orlando Arias, Kaichen Yang, Yier Jin, Tuba Yavuz, Xiaolong Guo:
Graph Neural Network based Hardware Trojan Detection at Intermediate Representative for SoC Platforms. ACM Great Lakes Symposium on VLSI 2022: 481-486 - 2021
- [j1]Max Panoff, Raj Gautam Dutta, Yaodan Hu, Kaichen Yang, Yier Jin:
On Sensor Security in the Era of IoT and CPS. SN Comput. Sci. 2(1): 51 (2021) - [c9]Kaichen Yang, Tzungyu Tsai, Honggang Yu, Max Panoff, Tsung-Yi Ho, Yier Jin:
Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules. AsiaCCS 2021: 349-362 - [c8]Kaichen Yang, Xuan-Yi Lin, Yixin Sun, Tsung-Yi Ho, Yier Jin:
3D-Adv: Black-Box Adversarial Attacks against Deep Learning Models through 3D Sensors. DAC 2021: 547-552 - 2020
- [c7]Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, Yier Jin:
Robust Adversarial Objects against Deep Learning Models. AAAI 2020: 954-962 - [c6]Kaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho, Yier Jin:
Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World. AAAI 2020: 1088-1095 - [c5]Honggang Yu, Haocheng Ma, Kaichen Yang, Yiqiang Zhao, Yier Jin:
DeepEM: Deep Neural Networks Model Recovery through EM Side-Channel Information Leakage. HOST 2020: 209-218 - [c4]Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin:
CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. NDSS 2020
2010 – 2019
- 2018
- [c3]Kaichen Yang, Jianqing Liu, Chi Zhang, Yuguang Fang:
Adversarial Examples Against the Deep Learning Based Network Intrusion Detection Systems. MILCOM 2018: 559-564 - 2015
- [c2]Kaichen Yang, Chi Zhang, Nenghai Yu:
Economic Costs of Multi-sever Private Information Retrieval in Cloud Computing. CCBD 2015: 373-376 - 2014
- [c1]Mengke Yu, Kaichen Yang, Lingbo Wei, Jinyuan Sun:
Practical private information retrieval supporting keyword search in the cloud. WCSP 2014: 1-6
Coauthor Index
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