Quick and accurate attack detection in recommender systems through user attributes-Reference-Cited by-同舟云学术

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Quick and accurate attack detection in recommender systems through user attributes

Published:2019-09-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th ACM Conference on Recommender Systems
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Author:

Aktukmak Mehmet¹,Yilmaz Yasin¹,Uysal Ismail¹

Affiliation:

1. University of South Florida

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3298689.3347050

Reference25 articles.

1. Michèle Basseville Igor V Nikiforov etal 1993. Detection of abrupt changes: theory and application. Vol. 104. Prentice Hall Englewood Cliffs. Michèle Basseville Igor V Nikiforov et al. 1993. Detection of abrupt changes: theory and application . Vol. 104. Prentice Hall Englewood Cliffs.

2. A Novel Shilling Attack Detection Method

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1. Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures;ACM Computing Surveys;2024-07-25

2. Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems;IEEE Transactions on Big Data;2023-10

3. RecAD: Towards A Unified Library for Recommender Attack and Defense;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

4. Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks;ACM Transactions on Information Systems;2023-02-07

5. Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System;IEEE Access;2023

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