290 search results - page 1 / 58 » Attack detection in time series for recommender systems |
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
RECSYS
2009
ACM
13 years 9 months ago
2009
ACM
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
SOCINFO
2010
13 years 3 months ago
2010
Abstract. Online recommender systems are a common target of attack. Existing research has focused on automated manipulation of recommender systems through the creation of shill acc...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. These vulnerabilities mostly emanate from the open nature of such systems ...