【論文快讀】DeepFool: a simple and accurate method to fool deep neural networks(2016)
作者：Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard École Polytechnique Fédérale de Lausanne 鏈接：https://arxiv.org/abs/1511.04599 摘要： 本文內容： 對於robustness的量化與計算； DeepFool算法。 形式化 圖像 x∈ x ∈
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相關文章
- 1. [paper]DeepFool: a simple and accurate method to fool deep neural networks
- 2. DeepFool: a simple and accurate method to fool deep neural networks
- 3. 【論文精讀】Dropout: A Simple Way to Prevent Neural Networks from Overfitting
- 4. SIMPLE ONLINE AND REALTIME TRACKING WITH A DEEP ASSOCIATION METRIC（論文閱讀筆記）
- 5. Dropout: A Simple Way to Prevent Neural Networks from Over tting 論文閱讀
- 6. Pseudo-Label：The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks
- 7. Deep SORT: Simple Online and Realtime Tracking with a Deep Association Metric（論文閱讀筆記）（2017CVPR）
- 8. 論文閱讀------Exposure Fusion: A Simple and Practical Alternative to High Dynamic Range Photography
- 9. 論文：Scalable and accurate deep learning for electronic health records研讀筆記
- 10. [論文翻譯]A Fast and Accurate Dependency Parser using Neural Networks