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

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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Bibliographic Details
Main Authors: Theodora Anastasiou, Sophia Karagiorgou, Petros Petrou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Georgia Tsirigotaki, Jelle Keizer
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
adversarial machine learning
adversarial training
AI security
Online Access:https://www.mdpi.com/1424-8220/22/18/6905

Internet

https://www.mdpi.com/1424-8220/22/18/6905

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