Kaichen Yang

According to our database, Kaichen Yang authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Energy-efficient underwater acoustic communication based on Dyna-Q with an adaptive action space.

Cheng Fan, Zhaohui Wang, Kaichen Yang

Phys. Commun., December, 2023

Dual-Leak: Deep Unsupervised Active Learning for Cross-Device Profiled Side-Channel Leakage Analysis.

Honggang Yu, Shuo Wang, Haoqi Shan, Maximillian Panoff, Michael Lee, Kaichen Yang, Yier Jin

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2023

LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging.

Weimin Fu, Kaichen Yang, Raj Gautam Dutta, Xiaolong Guo, Gang Qu

Proceedings of the Asian Hardware Oriented Security and Trust Symposium, 2023

2022

Graph Neural Network based Hardware Trojan Detection at Intermediate Representative for SoC Platforms.

Weimin Fu, Honggang Yu, Orlando Arias, Kaichen Yang, Yier Jin, Tuba Yavuz, Xiaolong Guo

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021

On Sensor Security in the Era of IoT and CPS.

Max Panoff, Raj Gautam Dutta, Yaodan Hu, Kaichen Yang, Yier Jin

SN Comput. Sci., 2021

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

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

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

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

2020

CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples.

Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

DeepEM: Deep Neural Networks Model Recovery through EM Side-Channel Information Leakage.

Honggang Yu, Haocheng Ma, Kaichen Yang, Yiqiang Zhao, Yier Jin

Proceedings of the 2020 IEEE International Symposium on Hardware Oriented Security and Trust, 2020

Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World.

Kaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho, Yier Jin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Robust Adversarial Objects against Deep Learning Models.

Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho, Yier Jin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Adversarial Examples Against the Deep Learning Based Network Intrusion Detection Systems.

Kaichen Yang, Jianqing Liu, Chi Zhang, Yuguang Fang

Proceedings of the 2018 IEEE Military Communications Conference, 2018

2015

Economic Costs of Multi-sever Private Information Retrieval in Cloud Computing.

Kaichen Yang, Chi Zhang, Nenghai Yu

Proceedings of the International Conference on Cloud Computing and Big Data, 2015

2014

Practical private information retrieval supporting keyword search in the cloud.

Mengke Yu, Kaichen Yang, Lingbo Wei, Jinyuan Sun

Proceedings of the Sixth International Conference on Wireless Communications and Signal Processing, 2014