Research
Publications
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”, GLSVLSI 2022, 2022.(Accepted)
Max Panoff, Raj Gautam Dutta, Yaodan Hu, Kaichen Yang and Yier Jin, ”On Sensor Security in the Era of IoT and CPS”, SN Computer Science, 2021.
Kaichen Yang, Tzungyu-Tsai, Honggang Yu, Max Panoff, Tsung-yi Ho and Yier Jin, ”Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules”, 16th ACM ASIA Conference on Computerand Communications Security (ACM ASIACCS 2021). (19% acceptance ratio)
Kaichen Yang, Xuanyi-Lin, Yixi Sun, Tsung-Yi Ho and Yier Jin, ”3D-Adv: Black-Box Physical Adver- sarial Attacks against Deep Learning Models through 3D Sensors”, 58th Design Automation Conference (DAC), 2021. (To Appear) (23% acceptance ratio)
Honggang Yu, Haocheng Ma, Kaichen Yang, Yiqiang Zhao and Yier Jin, ”DeepEM: Deep Neural Net- works Model Recovery through EM Side-Channel Information Leakage”, IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2020.
Kaichen Yang, Tzungyu Tsai, Honggang Yu, Tsung-Yi Ho and Yier Jin, ”Beyond Digital Domain: Fool- ing Deep Learning Based Recognition System in Physical World”, Proceedings of the AAAI Conference on Artificial Intelligence, 2020. (20.6% acceptance ratio)
Tzungyu Tsai, Kaichen Yang, Tsung-Yi Ho and Yier Jin, ”Robust adversarial objects against deep learning models”, Proceedings of the AAAI Conference on Artificial Intelligence, 2020. Oral Presenta- tion. (20.6% acceptance ratio)
Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho and Yier Jin, ”Cloudleak: Large-scale deep learning models stealing through adversarial examples”, Proceedings of Network and Distributed Systems SecuritySymposium (NDSS) /Blackhat USA, 2020. (17.4% acceptance ratio)
Kaichen Yang, Jianqing Liu, Chi Zhang and Yuguang Fang, ”Adversarial examples against the deep learning based network intrusion detection systems”, IEEE Military Communications Conference (MIL- COM), 2018.
Kaichen Yang, Chi Zhang and Nenghai Yu, ”Economic costs of multi-sever private information retrieval in cloudcomputing”, International Conference on Cloud Computing and Big Data (CCBD), 2015.
Mengke Yu, Kaichen Yang, Lingbo Wei and Jinyuan Sun, “Practical private information retrieval sup- porting keyword search in the cloud”, Sixth International Conference on Wireless Communications and Signal Processing (WCSP), 2014.
Presentations
Oral Presentations
“Adversarial examples against the deep learning based network intrusion detection systems”, in IEEE Military Communications Conference (MILCOM), Los Angeles, USA, Oct 2018
“Robust adversarial objects against deep learning models”, in AAAI Conference on Artificial Intelligence, New York, USA, Feb 2020
“Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules”, in ACM Asia Conference on Computer and Communications Security (AsiaCCS), Hongkong, China, June 2021
“3D-Adv: Black-Box Physical Adversarial Attacks against Deep Learning Models through 3D Sensors”, in Design Automation Conference (DAC), San Francisco, USA, Dec 2021
Poster Presentations
“Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World”, in AAAI Conference on Artificial Intelligence, New York, USA, Feb 2020
Projects
- DoD-Intel State-of-the-Art Heterogeneous Integrated Packaging (SHIP) Prototype Project 2020 - 2022
- STAMP Project 2020 - 2022