机译:消化神经网络:联合学习推论攻击的新型防御策略
Information and Intelligent Security (IIS) Lab Kennesaw State University Marietta GA 30060 USA;
Korea Electronics Technology Institute Seongnam South Korea;
Department of Computer Science and Engineering Major in Bio Artificial Intelligence Hanyang University Ansan South Korea;
Networks and Blocfechain Lab Innopolis University Innopolis Russia;
Department of Computer Science and Engineering Major in Bio Artificial Intelligence Hanyang University Ansan South Korea;
Information and Intelligent Security (IIS) Lab Kennesaw State University Marietta GA 30060 USA;
Federated learning (FL); Inference attack; White-box assumption; Digestive neural networks; t-SNE analysis; Federated learning security; ML Security; AI Security;
机译:针对深度神经网络分类的对抗学习:针对攻击的防御方法的全面综述
机译:社交网络中的图像和基于属性的卷积神经网络推论攻击
机译:基于联合的学习的学习认知检测飞行ad-hoc网络中的干扰攻击
机译:关于在联邦学习中的推理攻击防御性神经网络
机译:通过深度神经网络改善社交网络推理攻击
机译:基于随机频道的联合学习具有医学数据隐私保留的神经网络修剪:模型开发和实验验证
机译:深度学习的综合隐私分析:反对集中和联邦学习的被动和有源白箱推论攻击