[论文笔记]Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
作者：Anh Nguyen, Jason Yosinski, Jeff Clune 链接：https://arxiv.org/pdf/1412.1897.pdf 摘要： 本文的工作基于Christian Szegedy的Intriguing properties of neural networks一文，前文是利用箱约束下的L-BFGS算法来改造正确样本，而本文能够利用进化算法（梯度上升）的思想随
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相关文章
- 1. 对抗样本论文学习：Deep Neural Networks are Easily Fooled
- 2. Understanding Neural Networks Through Deep Visualization
- 3. Understanding Neural Networks Through Deep Visualization 论文笔记
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