Cong Shi
Cong Shi
Assistant Professor, Computer Science
4411 Guttenberg Information Technologies Center (GITC)
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
M.S.; Stevens Institute of Technology; Electrical Engineering; 2015
B.S.; Guangdong University of Technology; Electrical Engineering and Automation ; 2013
Website
Past Courses
CS 645: SECURITY AND PRIVACY IN COMPUTER SYSTEMS
CS 785: SEMINAR IN COMPUTER AND INFORMATION SCIENCE I
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
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
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Journal Article
Tang, Zijie, & Zhao, Tianming, & Zhang, Tianfang, & Phan, Huy, & Wang, Yan, & Shi, Cong, & Yuan, Bo, & Chen, Yingying (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
2023
Poster: Unobtrusively Mining Vital Sign and Embedded Sensitive Info via AR/VR Motion Sensors
October (4th Quarter/Autumn) 2023