Dongxiao Zhu

Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability

2020

Latent factor collaborative filtering (CF) has been a widely used technique for recommender system by learning the semantic representations of users and items. Recently, explainable recommendation has attracted much attention from research community. However, trade-off …

Automatic Calibration for Membership Inference Attack on Large Language Models

2025 · arXiv (Cornell University)

Membership Inference Attacks (MIAs) have recently been employed to determine whether a specific text was part of the pre-training data of Large Language Models (LLMs). However, existing methods often misinfer non-members as members, leading to …