Publications

Journal & Conference Papers

• Cross-Layer EM Fault Injection Assessment Framework
  Hanqiu Wang, Ruochen Dai, Tuba Yavuz, Xiaolong Guo, Orlando Arias, Dean Sullivan, Michael Lee, Honggang Yu, Siqi Dai, Domenic Forte, Shuo Wang
  International Symposium on Quality Electronic Design (ISQED), San Francisco, Apr. 23–25, 2025.

• Intent-Bert and Universal Context Encoders: A Framework for Workload and Sensor Agnostic Human Intention Prediction
  Maximillian Panoff, Joshua Acevedo, Honggang Yu, Peter Forcha, Shuo Wang, Christophe Bobda
  Technologies, Vol. 13, Iss. 2, 2025.

• A Privacy Leakage Issue in Qi-compatible Cellphone Wireless Charging by Stray Magnetic Field Sniffing
  Yirui Yang, Zihao Zhan, Honggang Yu, Qinghui Huang, Shuo Wang
  IEEE Applied Power Electronics Conference and Exposition (APEC), Long Beach, Feb. 25-29, 2024.

• 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
  IEEE International Symposium on Hardware Oriented Security and Trust (HOST), San Jose, May 1-4, 2023.

• Generation of black-box audio adversarial examples based on gradient approximation and autoencoders
  Po-Hao Huang, Honggang Yu, Max Panoff, Ting-Chi Wang
  ACM Journal on Emerging Technologies in Computing Systems (JETC), Vol. 18, No.3, Pages 1-19, 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 Great Lakes Symposium on VLSI (GLSVLSI), Irvine, Jun. 6-8, 2022.

• A Review and Comparison of AI-enhanced Side Channel Analysis
  Max Panoff, Honggang Yu, Haoqi Shan, Yier Jin
  ACM Journal on Emerging Technologies in Computing Systems (JETC), Vol. 18, No.3, Pages 1-20, 2022.

• Cross-Device Profiled Side-Channel Attacks using Meta-Transfer Learning
  Honggang Yu, Haoqi Shan, Maximillian Panoff, Yier Jin
  ACM/IEEE Design Automation Conference (DAC), Virtual Event, Dec. 5-9, 2021.

• Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
  Honggang Yu, Shihfeng Zeng, Teng Zhang, Ing-Chao Lin, Yier Jin
  arXiv preprint, Sep. 22, 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 ACM Asia Conference on Computer and Communications Security (ASIACCS), Virtual Event, Jun. 7-11, 2021.

• DeepEM: Deep Neural Networks Model Recovery through EM Side-Channel Information Leakage
  Honggang Yu, Haocheng Ma, Kaichen Yang, Yiqiang Zhao, Yier Jin
  IEEE International Symposium on Hardware Oriented Security and Trust (HOST), Virtual Event, Dec. 7-11, 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
  Network and Distributed System Security Symposium (NDSS), San Diego, Feb. 23-26, 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 AAAI Conference on Artificial Intelligence (AAAI), New York, Feb. 7-12, 2020.

• Audio Adversarial Examples Generation with Recurrent Neural Networks
  Kuei-Huan Chang, Po-Hao Huang, Honggang Yu, Yier Jin, Ting-Chi Wang
  Asia and South Pacific Design Automation Conference (ASP-DAC), Beijing, Jan. 13-16, 2020.