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cs.IR2025
Membership Inference Attacks on Recommender System: A Survey
Jiajie He, Xintong Chen, Xinyang Fang +4
Recommender systems (RecSys) have been widely applied to various applications, including E-commerce, finance, healthcare, social media and have become increasingly influential in s…
cs.IR2025
Membership Inference Attacks on In-Context Examples in LLM-based Recommender Systems
Jiajie He, Min-Chun Chen, Xintong Chen +3
Large language models (LLMs) based recommender systems (RecSys) can adapt flexibly across different domains. It uses in-context learning (ICL), i.e., prompts, including sensitive h…
cs.IR2025★ 1 cited
RecPS: Privacy Risk Scoring for Recommender Systems
Jiajie He, Yuechun Gu, Keke Chen
Recommender systems (RecSys) have become an essential component of many web applications. The core of the system is a recommendation model trained on highly sensitive user-item int…