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University of North Carolina at Chapel Hill
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Multimodal unlearning could revolutionize how we handle sensitive data in AI, enabling targeted removal without sacrificing model performance.
Even with ToM prompting, today's LLMs can be easily fooled in simple privacy games, but RL-trained "double agents" learn to effectively mislead attackers by modeling their beliefs.
