The Majority Rule: A General Protection on Recommender System

Lei Xu, Lin Chen, Martin Flores, Hansheng Lei, Liyu Zhang, Mahmoud K. Quweider, Fitratullah Khan, Weidong Shi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationSPAI 2020 - Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial Intelligent, Co-located with AsiaCCS 2020
PublisherAssociation for Computing Machinery, Inc
Pages40-46
Number of pages7
ISBN (Electronic)9781450376112
DOIs
StatePublished - Oct 6 2020
Event1st ACM Workshop on Security and Privacy on Artificial Intelligent, SPAI 2020, Co-located with AsiaCCS 2020 - Virtual, Online, Taiwan, Province of China
Duration: Oct 6 2020 → …

Publication series

NameSPAI 2020 - Proceedings of the 1st ACM Workshop on Security and Privacy on Artificial Intelligent, Co-located with AsiaCCS 2020

Conference

Conference1st ACM Workshop on Security and Privacy on Artificial Intelligent, SPAI 2020, Co-located with AsiaCCS 2020
CountryTaiwan, Province of China
CityVirtual, Online
Period10/6/20 → …

Keywords

  • protection
  • recommender system
  • vrf

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