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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Formato: | article |
Lenguaje: | EN |
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IEEE
2021
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Acceso en línea: | https://doaj.org/article/212646a711e04129ba84416ccb6de4ac |
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