Feeding four standard membership-inference scores into an XGBoost classifier yields higher AUC-ROC than the individual attacks on seven datasets for LLMs from 160M to 12B parameters.
Wang et al., ”Robust multiview point cloud registration with reliable pose graph initialization and history reweighting,” in Proc
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EM-MIAs: Enhancing Membership Inference Attacks in Large Language Models through Ensemble Modeling
Feeding four standard membership-inference scores into an XGBoost classifier yields higher AUC-ROC than the individual attacks on seven datasets for LLMs from 160M to 12B parameters.