From Interactions to Embeddings: A New Perspective for Poisoning Recommender Systems
Open Access
- 6 November 2026
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 5281-5292
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (62472409, 62272125)
- Beijing Natural Science Foundation (4252023)
This publication has 35 references indexed in Scilit:
- Influence-Driven Data Poisoning for Robust Recommender SystemsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
- Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User ProfilesIEEE Transactions on Knowledge and Data Engineering, 2023
- Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting2023
- Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation SystemsIEEE Transactions on Big Data, 2023
- Attacking Black-box Recommendations via Copying Cross-domain User Profiles2021
- PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems2020
- Deep Neural Networks for YouTube Recommendations2016
- Ups and Downs2016
- When power users attack2013
- Friendship and mobility2011