Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems

Adversarial attacks, e.g., adversarial perturbations of the input and adversarial samples, pose significant challenges to machine learning and deep learning techniques, including interactive recommendation systems. The latent embedding space of those techniques makes adversarial attacks challenging...

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Detalles Bibliográficos
Autores principales: Wang, Siyu, Cao, Yuanjiang, Chen, Xiaocong, Yao, Lina, Wang, Xianzhi, Sheng, Quan Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110778/
https://www.ncbi.nlm.nih.gov/pubmed/35592793
http://dx.doi.org/10.3389/fdata.2022.822783

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110778/
https://www.ncbi.nlm.nih.gov/pubmed/35592793
http://dx.doi.org/10.3389/fdata.2022.822783

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