Dec 1, 2019 · To this end, we shed light on the robustness of neighbourhood-based recommender systems and propose a novel data poisoning attack framework ...
Jan 14, 2020 · A study proposed a data poisoning attack against matrix-factorization-based recommender systems making the root-mean-squared-error become larger ...
Jan 14, 2020 · To this end, we shed light on the robustness of neighborhood-based recommender systems and propose a novel data poisoning attack framework, ...
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Light is shed on the robustness of neighborhood‐based recommender systems and a novel data poisoning attack framework is proposed, encoding the purpose of ...
Jun 13, 2021 · To this end, we shed light on the robustness of neighborhood‐based recommender systems and propose a novel data poisoning attack framework, ...
Jan 16, 2024 · To this end, we shed light on the robustness of neighborhood‐based recommender systems and propose a novel data poisoning attack framework, ...
Jan 7, 2021 · In this work, we conduct the first systematic study on data poisoning attacks to deep learning based recommender systems. An attacker's goal is ...
Aug 14, 2021 · Recent studies reveal that recommender systems are vulnerable to data poisoning attack due to their openness nature.
Data Poisoning Attacks on Neighborhood-based Recommender Systems, ETT, ... Influence Function based Data Poisoning Attacks to Top-N Recommender Systems, WWW, ...
A repository of poison attacks against recommender systems, as well as their countermeasures. This repository is associated with our systematic review, ...