Honggang Yu
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Honggang Yu Assistant Professor Office: McVey Data Science Building |
Short Biography
I am currently a tenure-track Assistant Professor in the Department of Computer Science and Software Engineering at Miami University. Previously, I earned my Ph.D. in Electrical and Computer Engineering from the University of Florida, under the supervision of Professor Shuo Wang. My research lies at the intersection of machine learning and hardware security, with a focus on developing secure, privacy-preserving, and efficient SoC-enabled platforms that address practical challenges in a scalable and reliable manner.
Openings: I am looking for new Ph.D. students with financial support provided. Recruited students are expected to work in the areas of hardware security and cybersecurity areas as well as in emerging areas such as AI security and autonomous vehicle implementations. If you are interested in these opportunities, please send me an email with your CV and transcripts attached.
News
[04-03-2026] Dr. Yu has been invited to serve as the Associate Editor of The Journal of Supercomputing.
[04-01-2026] I am deeply honored for receiving 2026 Faculty Research Grant Award! Many thanks for the acknowledgment!
[03-26-2026] Dr. Yu has been invited to serve as session chair for HOST 2026.
[11-07-2025] Our research paper titled “Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs” has been accepted for publication at AAAI 2026.
[10-09-2025] Dr. Yu has been invited to visit the University of South Florida.
[09-19-2025] Dr. Yu has been invited to visit the Kansas State University.
[08-18-2025] Dr. Yu joined the Department of Computer Science and Software Engineering at Miami University as an Assistant Professor in Fall 2025.
[09-26-2023] Our research paper titled “A Privacy Leakage Issue in Qi-compatible Cellphone Wireless Charging by Stray Magnetic Field Sniffing” has been accepted for publication at APEC 2024.
[03-08-2023] Our research paper titled “Dual-leak: Deep Unsupervised Active Learning for Cross-Device Profiled Side-Channel Leakage Analysis” has been accepted for publication at HOST 2023.
[02-11-2022] Two papers have been accepted for publication in JETC 2022.
[10-24-2021] Our research paper titled “Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules” has been accepted for publication at ASIACCS 2021.
[02-24-2021] Our research paper titled “Cross-Device Profiled Side-Channel Attacks using Meta-Transfer Learning” has been accepted for publication at DAC 2021.
[02-08-2020] Our research paper titled “DeepEM: Deep Neural Networks Model Recovery through EM Side-Channel Information Leakage” has been accepted for publication at HOST 2020.
[12-08-2019] Our research paper titled “CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples” has been accepted for publication at NDSS 2020.
[11-10-2019] Our research paper titled “Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World” has been accepted for publication at AAAI 2020.