most citedCheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent

19 citations · 19 across the 1 of their papers we have counts for

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cs.CR2025★ 19 cited

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent

Liang-bo Ning, Shijie Wang, Wenqi Fan +4

Recently, Large Language Model (LLM)-empowered recommender systems (RecSys) have brought significant advances in personalized user experience and have attracted considerable attent…