Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles

23 June 2022

Papers citing "Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles"

6 / 6 papers shown

Title
Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems Shiyi Yang Zhibo Hu Chen Wang Tong Yu Xiwei Xu Liming Zhu Lina Yao AAML 44 0 0 31 Mar 2025
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library Lei Cheng Xiaowen Huang Jitao Sang Jian Yu AAML 25 1 0 27 Apr 2024
Single-User Injection for Invisible Shilling Attack against Recommender Systems Chengzhi Huang Hui Li 32 13 0 21 Aug 2023
The GANfather: Controllable generation of malicious activity to improve defence systems Ricardo Pereira Jacopo Bono João Tiago Ascensão David Oliveira Aparício Pedro Ribeiro P. Bizarro AAML 23 2 0 25 Jul 2023
Filter-enhanced MLP is All You Need for Sequential Recommendation Kun Zhou Hui Yu Wayne Xin Zhao Ji-Rong Wen 85 255 0 28 Feb 2022
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 916 0 21 Apr 2018