AINeutralarXiv – CS AI · 6h ago7/10
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Deployment-Time Memorization in Foundation-Model Agents
Researchers characterize how memory-design choices in foundation-model agents affect privacy and utility, introducing metrics to measure personalization recall, extraction risk, and deletion fidelity. Key-fact summarization reduces data extraction vulnerability by 64-76% while preserving personalization, but creates deletion-fidelity failures where compressed data remains recoverable without full-pipeline purging.
🧠 GPT-4