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What Should an Agent Remember, Reveal, and Redact? The New Data Sinks and Leaks of Agentic AI

Speaker: Niloofar Mireshghallah (Carnegie Mellon)

Niloofar Mireshghallah is an assistant professor at Carnegie Mellon University, jointly appointed in the Language Technologies Institute and the Department of Engineering and Public Policy, and a core member of CyLab. Her research lies at the intersection of privacy, natural language processing, and the societal implications of machine learning, with a focus on contextual integrity and information-flow norms in LLMs and agentic systems. Previously, she was a research scientist at Meta's FAIR lab and a postdoctoral scholar at the University of Washington's Paul G. Allen School. She received her Ph.D. from UC San Diego in 2023. Her work has been covered by The Washington Post and WIRED, and she is a recipient of the NCWIT Collegiate Award and the Rising Star in Adversarial ML Award.