Targeted Shilling Attacks on GNN-based Recommender Systems
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications, Beijing , China
2. Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583780.3615073
Reference42 articles.
1. A Novel Shilling Attack Detection Method
2. Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems
3. Data poisoning attacks on neighborhood‐based recommender systems
4. Effective diverse and obfuscated attacks on model-based recommender systems
5. Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
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