论文-阅读理解-Adversary Resistant Deep Neural Networks with an Application to Malware Detection
整体来说，Adversary Resistant DeepNeural Networks with an Application to Malware Detection 这篇论文是利用了生成对抗网络和深度学习网络俩个模型提出的一种对恶意软件和应用检测的方法。 通过对GAN网络的学习和理解，简单描述这个过程：通过建立2个功能相同，性能相似的俩个DNN模型分别作为生成器和判定器。通过加入利用生成
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相关文章
- 1. 论文-阅读理解笔记Adversary Resistant DeepNeural Networks
- 2. 论文阅读：Deep Neural Networks for Object Detection
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- 4. Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks（阅读理解）
- 5. Multiresolution Recurrent Neural Networks: An Application to...
- 6. 【论文笔记】Malware Detection with Deep Neural Network Using Process Behavior
- 7. Deep Forest: Towards an Alternative to Deep Neural Networks (阅读笔记)
- 8. 【论文阅读笔记】Deep Neural Networks for Object Detection
- 9. 论文阅读：Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
- 10. 论文阅读：An Empirical Study of Spatial Attention Mechanisms in Deep Networks