Detect Adversarial Attacks Against Deep Neural Networks With GPU Monitoring

Deep Neural Networks (DNNs) are the preferred choice for image-based machine learning applications in several domains. However, DNNs are vulnerable to adversarial attacks, that are carefully-crafted perturbations introduced on input images to fool a DNN model. Adversarial attacks may prevent the app...

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Autores principales: Tommaso Zoppi, Andrea Ceccarelli
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/212646a711e04129ba84416ccb6de4ac
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