Researchers have developed a new framework called Game-theoretic Trustworthy Knowledge Acquisition (GTKA) to address the privacy concerns associated with using cloud-hosted Large Language Models (LLMs). GTKA formulates the trade-off between knowledge utility and privacy as a strategic game, decomposing sensitive user intents into generalized fragments to minimize leakage. The framework includes a privacy-aware generator, an adversarial attacker to provide leakage signals, and a local integrator for synthesizing responses. Experiments on biomedical and legal datasets show GTKA effectively reduces intent leakage while maintaining answer quality. AI
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IMPACT Offers a novel approach to balance LLM utility with user privacy, potentially enabling more secure use of external models for sensitive data.
RANK_REASON Academic paper introducing a new framework for LLM knowledge acquisition.