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机译:对深神经网络的看不见的对抗攻击:自适应惩罚方法
Wuhan Univ Sch Cyber Sci & Engn Key Lab Aerosp Informat Secur & Trusted Comp Minist Educ Wuhan 430072 Peoples R China;
Wuhan Univ Sch Cyber Sci & Engn Key Lab Aerosp Informat Secur & Trusted Comp Minist Educ Wuhan 430072 Peoples R China;
Wuhan Univ Sch Cyber Sci & Engn Key Lab Aerosp Informat Secur & Trusted Comp Minist Educ Wuhan 430072 Peoples R China;
Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA;
Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA;
Wuhan Univ Sch Cyber Sci & Engn Key Lab Aerosp Informat Secur & Trusted Comp Minist Educ Wuhan 430072 Peoples R China;
Adversarial examples; perceptual similarity; just noticeable distortion;
机译:基于重新攻击方法的深神经网络对侵扰攻击检测方法
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:对医学图像分类深神经网络的普遍对抗攻击
机译:n攻击:了解对深神经网络的改进黑匣子攻击的对抗示例的分布
机译:对深神经网络的对抗攻击
机译:对医学图像分类深神经网络的普遍对抗攻击
机译:深度神经网络对抗对抗攻击的多样性对抗培训