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Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity

机译：用神经元敏感性解释和改善深层神经网络的对抗鲁棒性

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Chongzhi Zhang; Aishan Liu; Xianglong Liu; Yitao Xu; Hang Yu; Yuqing Ma; Tianlin Li;
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1. Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity [J] . Chongzhi Zhang, Aishan Liu, Xianglong Liu, IEEE Transactions on Image Processing . 2021,第1期

机译：用神经元敏感性解释和改善深层神经网络的对抗鲁棒性
2. Improving adversarial robustness of deep neural networks by using semantic information [J] . Wang Lina, Chen Xingshu, Tang Rui, Knowledge-Based Systems . 2021,第Auga17期

机译：使用语义信息改善深神经网络的对抗性鲁棒性
3. Towards Improving Robustness of Deep Neural Networks to Adversarial Perturbations [J] . Amini Sajjad, Ghaemmaghami Shahrokh IEEE transactions on multimedia . 2020,第7期

机译：旨在提高深度神经网络的鲁棒性对抗对抗扰动
4. Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients [C] . Andrew Slavin Ros, Finale Doshi-Velez AAAI Conference on Artificial Intelligence;Innovative Applications of Artificial Intelligence Conference;Symposium on Educational Advances in Artificial Intelligence . 2018

机译：通过规范输入梯度来提高深神经网络的对抗性鲁棒性和解释性
5. Towards Adversarial Robustness of Deep Neural Networks [D] . Yang, Puyudi . 2020

机译：朝向深度神经网络的侵犯鲁棒性
6. Improved Classification of White Blood Cells with the Generative Adversarial Network and Deep Convolutional Neural Network [O] . Khaled Almezhghwi, Sertan Serte 2020

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7. Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss [O] . Pengcheng Li, Jinfeng Yi, Bowen Zhou, 2019

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Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity

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