# Difficulty Calibration Across Time for Membership Inference in Diffusion Models

Source: https://arxiv.org/abs/2610.40616
Published: 2026-10-29
Status: unreviewed source report

## Source excerpt (up to 25 words)

> Modern diffusion models are trained on massive datasets that often include copyrighted or private images. Membership inference attacks (MIAs) address this by testing whether a

## Review question

Match hardware, precision, sequence length, concurrency and output quality. Report p50/p95 latency and total accepted-task cost, not only a peak throughput number.

No independent proof check or claim of peer review.