Hugging Face Trending Papers October 29, 2026

Difficulty Calibration Across Time for Membership Inference in Diffusion Models

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The paper introduces techniques to improve membership inference attacks on diffusion models by accounting for image reconstruction difficulty. It proposes Reference-Model Calibration (RMC), which compares a fine‑tuned model’s loss to an earlier checkpoint to isolate newly memorized data, and Temporal Self‑Calibration (TSC), which uses a single model’s loss across diffusion timesteps to adjust for inherent image difficulty. Both methods outperform existing attacks and generalize across various model parameterizations.

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