論文-閱讀理解-Adversary Resistant Deep Neural Networks with an Application to Malware Detection
整體來說，Adversary Resistant DeepNeural Networks with an Application to Malware Detection 這篇論文是利用了生成對抗網絡和深度學習網絡倆個模型提出的一種對惡意軟件和應用檢測的方法。 通過對GAN網絡的學習和理解，簡單描述這個過程：通過建立2個功能相同，性能相似的倆個DNN模型分別作爲生成器和判定器。通過加入利用生成
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相關文章
- 1. 論文-閱讀理解筆記Adversary Resistant DeepNeural Networks
- 2. 論文閱讀：Deep Neural Networks for Object Detection
- 3. 論文閱讀--PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
- 4. Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks（閱讀理解）
- 5. Multiresolution Recurrent Neural Networks: An Application to...
- 6. 【論文筆記】Malware Detection with Deep Neural Network Using Process Behavior
- 7. Deep Forest: Towards an Alternative to Deep Neural Networks (閱讀筆記)
- 8. 【論文閱讀筆記】Deep Neural Networks for Object Detection
- 9. 論文閱讀：Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
- 10. 論文閱讀：An Empirical Study of Spatial Attention Mechanisms in Deep Networks