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cs.CR2026
PrivacySIM: Evaluating LLM Simulation of User Privacy Behavior
James Flemings, Murali Annavaram
Large language models (LLMs) are increasingly used to simulate human behavior, but their ability to simulate privacy decisions is not well understood. In this paper, w…
cs.CR2025
Personalizing Agent Privacy Decisions via Logical Entailment
James Flemings, Ren Yi, Octavian Suciu +3
Personal large language model (LLM) agents increasingly perform tasks that require access to user data, raising concerns about appropriate data disclosure. We show that relying sol…
cs.CR2024★ 2 cited
Differentially Private Next-Token Prediction of Large Language Models
James Flemings, Meisam Razaviyayn, Murali Annavaram
Ensuring the privacy of Large Language Models (LLMs) is becoming increasingly important. The most widely adopted technique to accomplish this is DP-SGD, which trains a model to gua…