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Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
TLDR
Kitsune is presented: a plug and play NIDS which can learn to detect attacks on the local network, without supervision, and in an efficient online manner, and demonstrates that Kitsune can be a practical and economic NIDS. Expand
Comparison of state-of-the-art deep learning APIs for image multi-label classification using semantic metrics
Abstract Image understanding heavily relies on accurate multi-label classification. In recent years, deep learning algorithms have become very successful for such tasks, and various commercial andExpand
Semantic Comparison of State-of-the-Art Deep Learning APIs for Image Multi-Label Classification
Image understanding relies heavily on accurate multilabel classification. In recent years, deep learning (DL) algorithms have become very successful tools for multi-label classification of imageExpand
Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification
TLDR
In this evaluation, Microsoft's Computer Vision, TensorFlow, Imagga, and IBM's Visual Recognition showed better performance than the other APIs and the new semantic similarity metric allowed deeper insights for comparison. Expand