Single-User Injection for Invisible Shilling Attack against Recommender Systems-Reference-Cited by-同舟云学术

Single-User Injection for Invisible Shilling Attack against Recommender Systems

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
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Author:

Huang Chengzhi¹^ORCID,Li Hui¹^ORCID

Affiliation:

1. Xiamen University, Xiamen, China

Funder

National Key R&D Program of China

Natural Science Foundation of Fujian Province of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615062

Reference72 articles.

1. Charu C. Aggarwal . 2016. Recommender Systems - The Textbook . Springer . Charu C. Aggarwal. 2016. Recommender Systems - The Textbook. Springer.

2. Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

3. Ganging up on information overload

4. Robin Burke Bamshad Mobasher and Runa Bhaumik. 2005 a. Limited Knowledge Shilling Attacks in Collaborative Filtering Systems. In ITWP@IJCAI. Robin Burke Bamshad Mobasher and Runa Bhaumik. 2005 a. Limited Knowledge Shilling Attacks in Collaborative Filtering Systems. In ITWP@IJCAI.

5. Robin D. Burke Bamshad Mobasher Runa Bhaumik and Chad Williams. 2005 b. Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. In ICDM. 577--580. Robin D. Burke Bamshad Mobasher Runa Bhaumik and Chad Williams. 2005 b. Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. In ICDM. 577--580.

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