Assistant Professor · Cybersecurity Researcher
Chenggang Wang
I study secure and accountable computing systems at the intersection of data security, privacy, networks, and machine learning.
Polytechnic Institute
University of Oklahoma
Tulsa, Oklahoma, 74135
Google Scholar
408 citations · h-index 7
Research
Areas of focus
- Data privacy and security
- Network security
- Side-channel attacks
- Natural language processing
- Machine learning
Updates
Recent News
- Dr. Chenggang Wang has received the “Best Reviewer” award from the IEEE IRI 2025 conference, congrats!
- Our proposal “Catalyst OU: A Pilot for an LLM-Powered Researcher Collaboration Network” submitted to OU Summer AI Pilot Projects has been selected for funding. Thanks OU for the support!
- Our proposal “Establishing a High-Performance Local AI Development Platform: Empowering the University of Oklahoma with Secure and Efficient On-Premises LLM Capabilities” submitted to OU Summer AI Pilot Projects has been selected for funding. Thanks OU for the support!
- One paper is accepted by IEEE IRI 2025 conference, congrats!
- Dr. Chenggang Wang has served as the TPC and session chair at IEEE IRI 2025 conference.
Research output
Selected Publications
- 2023Chenggang Wang, Mabon Ninan, Shane Reilly, Joel Ward, William Hawkins, Boyang Wang, John M. Emmert, “Portability of Deep-Learning Side-Channel Attacks against Software Discrepancies,” ACM Conference on Security and Privacy in Wireless and Mobile Network (ACM WiSec 2023), Guildford, Surrey, United Kingdom, May 29-June 01, 2023.
- 2023Chenggang Wang, Jimmy Dani, Shane Reilly, Austen Brownfield, Boyang Wang, John M. Emmert, “TripletPower: Deep-Learning Side-Channel Attacks over Few Traces,” IEEE International Symposium on Hardware Oriented Security and Trust (HOST 2023), San Jose, CA, USA, May 1-5, 2023.
- 2021Chenggang Wang, Jimmy Dani, Xiang Li, Xiaodong Jia and Boyang Wang, “Adaptive Fingerprinting: Website Fingerprinting over Few Encrypted Traffic,” ACM Conference on Data and Application Security and Privacy (ACM CODASPY 2021), Virtual, April 26-28, 2021.
- 2020Chenggang Wang, Sean Kennedy, Haipeng Li, King Hudson, Gowtham Atluri, Xuetao Wei, Wenhai Sun, Boyang Wang, “Fingerprinting Encrypted Voice Traffic on Smart Speakers with Deep Learning,” ACM Conference on Security and Privacy in Wireless and Mobile Network (ACM WiSec 2020), Virtual, July 8-10, 2020. (Acceptance rate: 27/104=26%) (The first two authors contribute equally in this paper)
- 2019Sean Kennedy, Haipeng Li, Chenggang Wang, Hao Liu, Boyang Wang and Wenhai Sun, “I Can Hear Your Alexa: Voice Command Fingerprinting on Smart Home Speakers,” IEEE Conference on Communication and Network Security (CNS 2019), 2019. (Acceptance rate: 32/115=28%) (The first three authors contribute equally in this paper)