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Understanding adversarial attacks on deep learning based medical image analysis systems

机译：了解基于深度学习的医学图像分析系统的对抗性攻击

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Xingjun Ma; Yuhao Niu; Lin Gu; Yisen Wang; Yitian Zhao; James Bailey; Feng Lu;
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年度 2021
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1. DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems [J] . Andrea Venturi, Giovanni Apruzzese, Mauro Andreolini, Data in Brief . 2021,第3期

机译：DRELAB - 深度加强学习对抗僵尸网络：用于对僵尸网络入侵检测系统进行对抗性攻击的基准数据集
2. Adversarial attacks on deep-learning-based SAR image target recognition [J] . Huang Teng, Zhang Qixiang, Liu Jiabao, Journal of network and computer applications . 2020,第Jula期

机译：基于深度学习的SAR图像目标识别的对抗攻击
3. Universal adversarial attacks on deep neural networks for medical image classification [J] . Hokuto Hirano, Akinori Minagi, Kazuhiro Takemoto BMC Medical Imaging . 2021,第1期

机译：对医学图像分类深神经网络的普遍对抗攻击
4. Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach [C] . Qi Liu, Han Jiang, Tao Liu, International Conference on Medical Image Computing and Computer-Assisted Intervention . 2020

机译：从对抗性攻击中保护基于深度学习的生物医学图像分割：一种低成本的频率细化方法
5. Deep Adversarial Learning Based Domain Adaptation for Mulit-Modal Image Analysis [D] . Makkar, Nikhil. 2018

机译：基于深层的逆势学习的Mulit模态图像分析域改编
6. DReLAB - Deep REinforcement Learning Adversarial Botnet: A benchmark dataset for adversarial attacks against botnet Intrusion Detection Systems [O] . Andrea Venturi, Giovanni Apruzzese, Mauro Andreolini, 2021

机译：DRELAB - 深度加强学习对抗僵尸网络：用于对僵尸网络入侵检测系统进行对抗性攻击的基准数据集
7. Exploiting the Vulnerability of Deep Learning-Based Artificial Intelligence Models in Medical Imaging: Adversarial Attacks [O] . Hwiyoung Kim, Dae Chul Jung, Byoung Wook Choi 2019

机译：利用医学成像中深层学习的人工智能模型的脆弱性：对抗攻击

Understanding adversarial attacks on deep learning based medical image analysis systems

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