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the Ph.D. Our recent works on AI privacy and security: Practical Bayes-Optimal Membership Inference Attacks, NeurIPS 2025, https://arxiv.org/pdf/ 24089 Secure Aggregation is Not Private Against Membership
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, it also exposes them to new and critical security risks that remain poorly understood. Among these risks, memory poisoning attacks pose a severe and immediate threat to the reliability and security
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the agent’s ability to store, retrieve, and adapt knowledge over time, leading to biased decisions, manipulation of real-time behavior, security breaches, and system-wide failures. The goal of this project is
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