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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |