Governance, Privacy and Security Research Lab

Our work, at the intersection of Security, AI, and HCI to address question: How can we design secure systems that improve the quality of human interaction and human data authenticity in digital ecosystems? Some Research Directions in our Lab

Identity (Personhood) Verification We study identity verification systems to uncover hidden privacy and security risks for users and organizations, addressing challenges like fraud, bot activity, and human-AI distinction in high-stakes contexts(Talk on Personhood Credentials, Preprint on Personhood Credentials)
AI-Generated Media Verification We study user challenges in understanding media provenance and design interventions to verify the authenticity of digital content across images, video, and audio (Preprint)
Visual Privacy Preservation: We develop representative dataset and tools to develop novel algorithms in empowering individuals (e.g. blind users) to identify and manage any private content in images and videos (BivPriv -- Novel Private Vision Data, Biv-Priv-Seg -- Benchmark, BivPriv App -- Privacy Preserving Tool)
AI (Data and Model) Governance: We investigate issues at the intersection of computing and society by interpreting and operationalizing principles of data privacy (such as Data Minimization , Decentralized Governance DAO, Democratic Tool for AI Governance).
Blockchain and Usable Crypto: We design and develop accessible and easy-to-understand cryptographic solutions to mitigate security risks with usability benefits (e.g., MFKDF-- usable decentralized key management, iWallet)

Our lab is actively recruiting PhD students, master's students, and undergraduates! If you're interested in joining the lab learn more here!