1. Learning from noisy examples;Angluin;Mach. Learn.,1988
2. Classification features for attack detection in collaborative recommender systems;Burke,2006
3. Identifying attack models for secure recommendation;Burke,2005
4. Preventing shilling attacks in online recommender systems;Chirita P.,2005
5. βp: a novel approach to filter out malicious rating profiles from recommender systems;Chung;Decis. Support Syst.,2013