An Intelligent Job Counseling System. - James N. K. Liu; Thomas Mak; Brian Tang; Katie Ma; Zikey Tsang (PRICAI, 1998)

Enhancing ML Robustness Using Physical-World Constraints. - Varun Chandrasekaran; Brian Tang; Varsha Pendyala; Kassem Fawaz; Somesh Jha; Xi Wu 001 (CoRR, 2019)

Face-Off: Adversarial Face Obfuscation. - Varun Chandrasekaran; Chuhan Gao; Brian Tang; Kassem Fawaz; Somesh Jha; Suman Banerjee 001 (Proc. Priv. Enhancing Technol., 2021)

Do Opt-Outs Really Opt Me Out? - Duc Bui; Brian Tang; Kang G. Shin (CCS, 2022)

CONFIDANT: A Privacy Controller for Social Robots. - Brian Tang; Dakota Sullivan; Bengisu Cagiltay; Varun Chandrasekaran; Kassem Fawaz; Bilge Mutlu (HRI, 2022)

Reproducible Subjective Evaluation. - Max Morrison; Brian Tang; Gefei Tan; Bryan Pardo (CoRR, 2022)

Detection of Inconsistencies in Privacy Practices of Browser Extensions. - Duc Bui; Brian Tang; Kang G. Shin (SP, 2023)

Fairness Properties of Face Recognition and Obfuscation Systems. - Harrison Rosenberg; Brian Tang; Kassem Fawaz; Somesh Jha (USENIX Security Symposium, 2023)

Eye-Shield: Real-Time Protection of Mobile Device Screen Information from Shoulder Surfing. - Brian Tang; Kang G. Shin (USENIX Security Symposium, 2023)

Steward: Natural Language Web Automation. - Brian Tang; Kang G. Shin (CoRR, 2024)

Navigating Cookie Consent Violations Across the Globe. - Brian Tang; Duc Bui; Kang G. Shin (CoRR, 2025)