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Manipulating recommender systems: A survey of poisoning attacks and countermeasures
Recommender systems have become an integral part of online services due to their ability to
help users locate specific information in a sea of data. However, existing studies show that …
help users locate specific information in a sea of data. However, existing studies show that …
[HTML][HTML] Blockchain-based recommender systems: Applications, challenges and future opportunities
Recommender systems have been widely used in different application domains including
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
energy-preservation, e-commerce, healthcare, social media, etc. Such applications require …
Fltrust: Byzantine-robust federated learning via trust bootstrap**
X Cao, M Fang, J Liu, NZ Gong - ar**, L Fowl, WR Huang, W Czaja… - arxiv preprint arxiv …, 2020 - arxiv.org
Data Poisoning attacks modify training data to maliciously control a model trained on such
data. In this work, we focus on targeted poisoning attacks which cause a reclassification of …
data. In this work, we focus on targeted poisoning attacks which cause a reclassification of …
A survey on trustworthy recommender systems
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …
deployed in almost every corner of the web and facilitate the human decision-making …