IndirectAD: Practical Data Poisoning Attacks Against Recommender Systems for Item Promotion
- 1 January 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Forensics and Security
- Vol. 21, 8979-8992
Abstract
No abstract availableFunding Information
- Nanyang Technological University through the NTU startup (025559-00001)
- CyberSG R&D Programme Office (02711700001)
This publication has 36 references indexed in Scilit:
- Attacking Recommender Systems With Plausible ProfileIEEE Transactions on Information Forensics and Security, 2021
- PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems2020
- Shilling Attack Detection Scheme in Collaborative Filtering Recommendation System Based on Recurrent Neural Network2020
- Adversarial Training Towards Robust Multimedia Recommender SystemIEEE Transactions on Knowledge and Data Engineering, 2019
- Self-Attentive Sequential Recommendation2018
- Recommender Systems2017
- HHT–SVM: An online method for detecting profile injection attacks in collaborative recommender systemsKnowledge-Based Systems, 2014
- Analysis of Bandwagon and Average Hybrid Attack Model against Trust-based Recommender Systems2011
- Collaborative Filtering for Implicit Feedback Datasets2008
- Collaborative recommendationACM Transactions on Internet Technology, 2004