Poison-Tolerant Collaborative Filtering Against Poisoning Attacks on Recommender Systems
Author:
Affiliation:
1. School of Architecture, Technology and Engineering, University of Brighton, Brighton, U.K.
2. College of Cyber Science, Nankai University, Tianjin, China
3. School of Computer Science, The University of Sydney, Sydney, NSW, Australia
Funder
SRAKE QR Funding Scheme of UoB
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8858/10663874/10400891.pdf?arnumber=10400891
Reference48 articles.
1. Collaborative Filtering Recommender Systems
2. Neural Graph Collaborative Filtering
3. Efficient Neural Interaction Function Search for Collaborative Filtering
4. Data poisoning attacks on factorization-based collaborative filtering;Li
5. A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning
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