All methods
MIA
Daubert-eligibleTier 1

DE-COP

Duarte et al. · arXiv 2024 · arXiv:2402.09910

Description

Detection of copyrighted content via paraphrase-distinguishing probes. Forces the model to choose between original passages and high-quality paraphrases; preference for the original is statistically attributable to memorization.

Technical signature

in: (model, passage, k_paraphrases) → out: { preference_ratio, p_binomial }

Adversarial robustness

Resistant to temperature smoothing; partially defeated by output filtering that randomizes between near-identical candidates.

Daubert eligibility

Method is peer-reviewed, has published error rates, and is reproducible from the chain-of-custody hash. Eligible for Tier-A admissibility packaging. Ultimate admissibility is the court's determination.