Towards Robustifying Image Classifiers against the Perils of Adversarial Attacks on Artificial Intelligence Systems

Adversarial machine learning (AML) is a class of data manipulation techniques that cause alterations in the behavior of artificial intelligence (AI) systems while going unnoticed by humans. These alterations can cause serious vulnerabilities to mission-critical AI-enabled applications. This work int...

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Detalles Bibliográficos
Autores principales: Anastasiou, Theodora, Karagiorgou, Sophia, Petrou, Petros, Papamartzivanos, Dimitrios, Giannetsos, Thanassis, Tsirigotaki, Georgia, Keizer, Jelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506202/
https://www.ncbi.nlm.nih.gov/pubmed/36146258
http://dx.doi.org/10.3390/s22186905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506202/
https://www.ncbi.nlm.nih.gov/pubmed/36146258
http://dx.doi.org/10.3390/s22186905

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