机译:对抗和隐私权的对抗深层学习:进化游戏方法
Cyberspace Institute of Advanced Technology (CIAT) Guangzhou University Guangzhou China;
Cyberspace Institute of Advanced Technology (CIAT) Guangzhou University Guangzhou China;
Cyberspace Institute of Advanced Technology (CIAT) Guangzhou University Guangzhou China;
Cyberspace Security Research Center Peng Cheng Laboratory Shenzhen China;
Department of Electrical and Computer Engineering Duke University Durham NC USA;
Cyberspace Institute of Advanced Technology (CIAT) Guangzhou University Guangzhou China;
Deep learning; Adversarial training framework; QoS-privacy trade-off; Evolutionary game; Incentive mechanism;
机译:深度学习符合博弈论:基于Bregman的交互式深度生成对抗网络算法
机译:广播空间中骑自行车者行人互动的马尔可夫 - 游戏模型
机译:对抗机器学习游戏理论方法调查
机译:具有深度学习模型的对抗学习游戏
机译:关于游戏的深度加固学习:多重政策头部深度Q学的泛化
机译:评估mHealth系统中隐私保护的进化博弈论方法
机译:具有深度学习模型的对抗学习游戏