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机译:通过低级图像转换防范对抗性攻击
Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei China;
Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei China;
Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei China;
Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei China;
Anhui Provincial Key Laboratory of Multimodal Cognitive Computation School of Computer Science and Technology Anhui University Hefei China;
adversarial examples; deep neural networks; flip operation; image transformations; WebP compression;
机译:防范对交通标志图像识别的对抗攻击基于5G
机译:图像超级分辨率作为防范对抗攻击
机译:评估对遥感场景分类深度神经网络的对抗例的威胁:攻击和防御
机译:使用基于密度的图像表示对抗对抗攻击的防御机制
机译:计算机视觉上的对抗机器学习:机器学习模型的攻击和防御
机译:深度神经网络检测Covid-19患者胸部X射线图像中的易受伤害性普遍普遍攻击
机译:图像超级分辨率作为防范对抗攻击