Tag
QuanText is a training-free and large-language-model-agnostic mechanism proposed to protect global secrets in textual datasets while preserving utility, using randomized quantization inspired by Statistic Maximal Leakage and achieving better empirical privacy-utility trade-offs than competing baselines.