Second Order Optimization for Adversarial Robustness and Interpretability

时间 2020-12-26

标签 neural networks 繁體版

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文章目录概主要内容 (4)式的求解超参数 Tsiligkaridis T., Roberts J. Second Order Optimization for Adversarial Robustness and Interpretability. arXiv preprint axXiv 2009.04923, 2020. 概也算是一种对抗训练吧, 有区别的是构造对抗样本的方式, 以及用

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1. 【文献阅读】Feature Denoising for Improving Adversarial Robustness
2. Certified Adversarial Robustness via Randomized Smoothing
3. Second-order Attention Network for Single Image Super-Resolution（CVPR2019）
4. Certified Robustness to Adversarial Examples with Differential Privacy
5. The Building Blocks of Interpretability
6. [paper]IMPROVING ADVERSARIAL ROBUSTNESS REQUIRES REVISITING MISCLASSIFIED EXAMPLES
7. 《Learning Semantic Concepts and Order for Image and Sentence Matching》
8. Day 12 Adjective order and Present perfect and ‘for’/’since’
9. ROBUSTNESS TO ADVERSARIAL EXAMPLES THROUGH AN ENSEMBLE OF SPECIALISTS
10. Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine L

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