机译:基于灵敏度的鲁棒性学习,用于堆叠式自动编码器,可防止规避攻击
South China Univ Technol, Sch Comp Sci & Engn, Guangzhou, Guangdong, Peoples R China;
South China Univ Technol, Sch Comp Sci & Engn, Guangzhou, Guangdong, Peoples R China;
South China Univ Technol, Sch Comp Sci & Engn, Guangzhou, Guangdong, Peoples R China;
Macau Univ Sci & Technol, Fac Informat Technol, Macau, Peoples R China;
IEEE SMC Soc, San Diego, CA USA;
Deep learning; Adversarial learning; Robustness; Evasion attack; Sensitivity;
机译:基于堆叠的AutoEncoders和小波极限学习机来处理软建模,用于铝合金应用范围应用
机译:基于一维卷积神经网络和堆叠去噪自身叠层特征学习的多变量的故障检测与识别
机译:Iterative learning-based many-objective history matching using deep neural network with stacked autoencoder
机译:基于重量均匀,提高堆叠自动编码器对逃避攻击的鲁棒性
机译:研究基于机器学习的IDS对802.11网络的拒绝服务攻击的鲁棒性。
机译:基于堆叠式自动编码器和极限学习机的雷达HRRP目标识别
机译:基于汽车对抗胰岛素重建的基于克莱鲸敌对攻击来评估防御机制的鲁棒性