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SpectralCanary: Embarrassingly Simple Low-Frequency Traces for T2I Dataset-Use Auditing

Paper recorded by Signals 4 on 2026-10-22 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.LG · 机器学习 · first seen 2026-10-23

Abstract

Auditing whether a text-to-image (T2I) model was fine-tuned on a particular image collection is difficult: a model can absorb collection-level visual characteristics without reproducing training images. Proactive dataset-use auditing plants a shared signal in a dataset before release, then later checks whether that signal appears in a suspect model's generated outputs. Existing approaches often tr

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#194 most recent of 749 cs.LG papers we have recorded · ↑ newer: Reliable AI-Assisted Decisions via Selective Auditing · ↓ older: A Fix for Softmax and Cross-Entropy
Cite this page: SpectralCanary: Embarrassingly Simple Low-Frequency Traces for T2I Dataset-Use Auditing: the #194 most recent of 749 cs.LG papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/spectralcanary-embarrassingly-simple-low-frequency-traces-for-t2i-dataset-use-au.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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