Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack.
Fan WuMin GaoJunliang YuZongwei WangKecheng LiuWange XuPublished in: CoRR (2021)
Keyphrases
- recommender systems
- injection attacks
- product recommendation
- countermeasures
- data sparsity
- collaborative filtering
- attack detection
- attack scenarios
- malicious attacks
- denial of service attacks
- matrix factorization
- graph representation
- attack graph
- image processing
- collaborative filtering algorithms
- cyber attacks
- graph structure
- random walk
- graph theory
- generative model
- user preferences
- directed graph
- insider attacks
- structured data
- information security
- weighted graph
- user modeling
- user profiling
- security measures
- alert correlation
- cold start
- cold start problem
- bipartite graph
- user profiles
- data corruption
- graph mining
- probabilistic model
- collaborative recommender systems
- unsupervised learning
- security risks
- secret key