paperSeptember 2026Unreviewed

An Efficient and Effective Agentic Group Shilling Attack on Recommender Systems

Quoc Viet Nguyen, Trinh Pham, Viet Huynh, Hongzhi Yin, Quoc Viet Hung Nguyen, Bay Vo, Thanh Tam Nguyen

Abstract

Recommender systems have become core infrastructure for modern online platforms, personalizing content at scale and strongly influencing what users see, click on, and purchase. However, this dependence on user interaction also exposes them to shilling attacks, where malicious actors can inject fake profiles to distort item rankings and control visibility. Existing attacks often rely on target-specific fine-tuning or fixed profile templates, making them either difficult to adapt to different vict

Cite

@misc{nguyen2026efficient,
  title = {{An Efficient and Effective Agentic Group Shilling Attack on Recommender Systems}},
  author = {Quoc Viet Nguyen and Trinh Pham and Viet Huynh and Hongzhi Yin and Quoc Viet Hung Nguyen and Bay Vo and Thanh Tam Nguyen},
  year = {2026},
  month = sep,
  eprint = {2609.09551},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.09551}
}