Cong Shi

Assistant Professor, Computer Science
About Me
I am an tenured track assistant professor at the department of computer science at New Jersey Institute of Technology (NJIT). Before joining NJIT, I received my Ph.D. degree from Rutgers University, where I was advised by Dr. Yingying Chen. My research interests span Applied Machine Learning, Security and Privacy for Mobile Systems, and Robust and Trustworthy ML/AI. My research work has been published at top-tier security, mobile sensing, and ML/AI venues (e.g., IEEE S&P, ACM CCS, ACSAC, ACM MobiCom, ACM MobiSys, ACM SenSys, ACM MobiHoc, ACM UbiComp, ICCV, AAAI, ECCV).
Education
Ph.D.; Rutgers University-New Brunswick; Electrical and Computer Engineering; 2022
M.S.; Stevens Institute of Technology; Electrical Engineering; 2015
B.S.; Guangdong University of Technology; Electrical Engineering and Automation ; 2013
Website
https://web.njit.edu/~cs638/
Past Courses
CS 645: SECURITY AND PRIVACY IN COMPUTER SYSTEMS
CS 785: SEMINAR IN COMPUTER AND INFORMATION SCIENCE I
Conference Paper
"Inaudible Backdoor Attack via Stealthy Frequency Trigger Injection in Audio Spectrogram"
May, 2024.
"Practical Adversarial Attack on WiFi Sensing Through Unnoticeable Communication Packet Perturbation"
May, 2024.
"EmoLeak: Smartphone Motions Reveal Emotions"
2023.
"Privacy Leakage via Unrestricted Motion-Position Sensors in the Age of Virtual Reality: A Study of Snooping Typed Input on Virtual Keyboards"
2023.
"Stealthy Backdoor Attack on RF Signal Classification"
2023.
"FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors"
November, 2023.
Journal Article
Zijie Tang, Tianming Zhao, Tianfang Zhang, Huy Phan, Yan Wang, Cong Shi, Bo Yuan, Yingying Chen. 2024. "RF Domain Backdoor Attack on Signal Classification Via Stealthy Trigger." IEEE Transactions on Mobile Computing.
Conference Abstract
"Poster: Extracting Speech from Subtle Room Object Vibrations Using Remote mmWave Sensing"
2023.
"Poster: Unobtrusively Mining Vital Sign and Embedded Sensitive Info via AR/VR Motion Sensors"
October (4th Quarter/Autumn), 2023.