@inproceedings{9f1edd639d3048eeb18d16a4cfce3e4f,
title = "The Majority Rule: A General Protection on Recommender System",
abstract = "Recommender systems are widely used in a variety of scenarios, including online shopping, social network, and contents distribution. As users rely more on recommender systems for information retrieval, they also become attractive targets for cyber-attacks. The high-level idea of attacking a recommender system is straightforward. An adversary selects a strategy to inject manipulated data into the database of the recommender system to influence the recommendation results, which is also known as a profile injection attack. Most existing works treat attacking and protection in a static manner, i.e., they only consider the adversary's behavior when analyzing the influence without considering normal users' activities. However, most recommender systems have a large number of normal users who also add data to the database, the effects of which are largely ignored when considering the protection of a recommender system. We take normal users' contributions into consideration and analyze popular attacks against a recommender system. We also propose a general protection framework under this dynamic setting. ",
keywords = "protection, recommender system, vrf",
author = "Lei Xu and Lin Chen and Martin Flores and Hansheng Lei and Liyu Zhang and Quweider, {Mahmoud K.} and Fitratullah Khan and Weidong Shi",
note = "Publisher Copyright: {\textcopyright} 2020 ACM. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; null ; Conference date: 06-10-2020",
year = "2020",
month = oct,
day = "6",
doi = "10.1145/3385003.3410923",
language = "English",
series = "SPAI 2020 - Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial Intelligent, Co-located with AsiaCCS 2020",
publisher = "Association for Computing Machinery, Inc",
pages = "40--46",
booktitle = "SPAI 2020 - Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial Intelligent, Co-located with AsiaCCS 2020",
}