ToDA: Target-oriented Diffusion Attacker against Recommendation System

arXiv:2401.12578v2 Announce Type: replace
Abstract: Recommendation systems (RS) have become indispensable tools for web services to address information overload, thus enhancing user experiences and bolstering platforms' revenues. However, with their increasing ubiquity, security concerns have also emerged. As the public accessibility of RS, they are susceptible to specific malicious attacks where adversaries can manipulate user profiles, leading to biased recommendations. Recent research often integrates additional modules using generative models to craft these deceptive user profiles, ensuring them are imperceptible while …

accessibility address adversaries arxiv attacker attacks can cs.cr experiences information malicious overload platforms public revenues security security concerns services system systems target tools ubiquity web web services