Qing-Qing Ye

UMPeek reveals that even when memory access is restricted, personalized LLM agents can still leak sensitive user information through their decision-making patterns.

You can now fine-tune personalized diffusion models to generate avatars that are both high-fidelity and resistant to facial recognition, offering a tunable privacy-utility trade-off.