Research Interests
- Data privacy and security, network security, side-channel attacks, natural language processing, and machine learning
Chenggang Wang
Assistant Professor
Polytechnic Institute
University of Oklahoma
Tulsa, Oklahoma, 74135
Tulsa campus main building
+1.334.233.1036
chenggang.wang@ou.edu
Curriculum Vitae GitHub Google Scholar Citations (Citations: 270+, h-index:6)
News
- 08/2025 Dr. Chenggang Wang has received the “Best Reviewer” award from the IEEE IRI 2025 conference, congrats!
- 06/2025 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!
- 06/2025 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!
- 06/2025 One paper is accepted by IEEE IRI 2025 conference, congrats!
- 05/2025 Dr. Chenggang Wang has served as the TPC and session chair at IEEE IRI 2025 conference.
- 08/2024 Dr. Chenggang Wang joined the Polytechnic Institute at the University of Oklahoma
- 02/2023 One paper is accepted by ACM WiSec 2023, congrats!
- 01/2023 Dr. Wang join Auburn University at Montgomery (AUM) as Assistant Professor.
Selected Publications
Chenggang 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.
Chenggang 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, May 1-5, 2023.
Chenggang 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.
Chenggang 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)
Sean 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)