机译:提高数据挖掘算法对抗对抗逃避攻击的鲁棒性
College of Information Engineering Qingdao Binhai University Qingdao China;
College of Information Engineering Qingdao Binhai University Qingdao China;
College of Communication and Art Design University of Shanghai for Science and Technology Shanghai China;
College of Information Engineering Qingdao Binhai University Qingdao China;
School of Information Science and Engineering Hebei University of Science and Technology Shijiazhuang China;
School of Information Science and Engineering Hebei University of Science and Technology Shijiazhuang China;
data mining; robustness; security;
机译:提高数据挖掘算法对抗对抗逃避攻击的鲁棒性
机译:对抗PC学习算法的对抗数据中毒攻击
机译:利用数据挖掘算法研究入侵检测系统中攻击的识别技术
机译:在逃避和混合攻击下对抗性强大PAC学习的下限
机译:我们需要在删除虚假数据集偏见时讨论对抗性攻击的鲁棒性
机译:强大的数据缩放算法可提高生物医学数据中的分类准确性
机译:捕获机器人:使用对抗示例来改善验证码到机器人攻击的鲁棒性