Nirupam Roy's lab has developed an AI-enhanced system that protects personal voice data from automated surveillance.
Sweta Agrawal and Eleftheria Briakou are helping millions communicate across languages with advanced AI.
The novel DynaGuard system replaces rigid, one-size-fits-all AI safeguards with a customizable framework that adapts to real-world risks.
MC2 faculty member Dave Levin and student Annie Dai helped uncover a significant internet security flaw.
Rising AI use in American newspapers raises questions about factuality and trust with readers, UMD computer science and journalism researchers say.
Julia Mendelsohn is combining language, politics, and computer science to better understand implicit language in political discourse.
The research combines principles from reinforcement learning and game theory to better understand and enhance Generative AI-Agents’ safety.
Ramani Duraiswami helped develop an AI-powered platform that breaks down songs based on personal taste, emotion and mood.
Amisha Bhaskar recently presented her research in Boston, showcasing four projects that help robots learn efficiently from limited human input.
CLIP researchers are developing AI that provides consistent, culturally aware guidance to help users stay safe in both every day and crisis situations.
