【论文回顾】Towards Evaluating the Robustness of Neural Networks

时间 2021-01-02

标签深度学习繁體版

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paper notes: 1.this paper introduced three new attacks for L-0 L-2 L-infin distance metrics by defining different choices of objective function. Specifically, they are all based on the L-2 attack. 2.t

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1. [paper]Towards Evaluating the Robustness of Neural Networks(C&W)
2. Towards Evaluating the Robustness of Neural Networks论文解读集合
3. The Unreasonable Effectiveness of Recurrent Neural Networks
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5. 论文《On the Number of Linear Regions of Deep Neural Networks》翻译
6. Towards Deeper Graph Neural Networks
7. MUNN：Mutation Analysis of neural networks论文阅读
8. On the Number of Linear Regions of Deep Neural Networks
9. 【论文回顾】The Limitations of Deep Learning in Adversarial Settings
10. Applications of Graph Neural Networks
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1. [paper]Towards Evaluating the Robustness of Neural Networks(C&W)
2. Towards Evaluating the Robustness of Neural Networks论文解读集合
3. The Unreasonable Effectiveness of Recurrent Neural Networks
4. 课程回顾-Convolutional Neural Networks
5. 论文《On the Number of Linear Regions of Deep Neural Networks》翻译
6. Towards Deeper Graph Neural Networks
7. MUNN：Mutation Analysis of neural networks论文阅读
8. On the Number of Linear Regions of Deep Neural Networks
9. 【论文回顾】The Limitations of Deep Learning in Adversarial Settings
10. Applications of Graph Neural Networks

>>更多相关文章<<