معرفی
Sauvik Das is an Associate Professor at Carnegie Mellon University's Human-Computer Interaction Institute and director of the SPUD (Security, Privacy, Usability and Design) Lab. His work bridges Human-Computer Interaction, Artificial Intelligence, and Cybersecurity, focusing on empowering users with agency over personal data and online experiences. Previously, he served as Assistant Professor at Georgia Tech's Interactive Computing department.
- Research Themes: Human-centered approaches to security/privacy, AI privacy risks, socially-integrated cybersecurity, tangible security interfaces, and collective privacy action.
Publication Trends: Recent work explores AI privacy taxonomies, human-AI teaming for security, adversarial AI strategies, geolocation privacy with vision models, and privacy harms in social systems. His 2024 CHI best paper on AI privacy taxonomy and 2025 FAccT paper on LLM bias stand out.
- Awards: Best Paper (UbiComp 2013, CHI 2024), Distinguished Paper (SOUPS 2020, SEC 2024), NSF CAREER Grant (2022), and multiple honorable mentions across CHI, CSCW, and USENIX.
- Grants: Funded by NSF (SaTC Medium, CAREER), Facebook, Georgia Tech, and CMU's Secure Blockchain Initiative.
Laboratory: The SPUD Lab investigates intersections of usability, security, and AI, producing tools like Purpose Mode browser extension for reducing social media distractions through pattern suppression.
