… and intrusion detection and threating intelligence sensing. On … network and realizing a
secure federated deep learning, we expatiate the existing research on how to build a secure AI …

… predictive analytics, and harnesses the power of machine learning algorithms to optimize
farming … It contributes to the advancement of AI-based sensor systems with broadapplications, …

… interest covers network security and artificial intelligence … of attack against machine learning
in cyberspace defense … 网络空间防御 Adversarial attacks against intrusion detection systems…

… models to bypass feature detection. Our work provides intrusion detection models with more
… Situation, trends and prospects of deep learning applied to cyberspace security[J]. Journal …

… research and applications, artificial intelligence security … order to better improve the security
of deep learning models for … of the existing backdoor attack methods in deep learning. First, …

… )技术的快速发展,特别是在深度学习 (deep learning,DL)技术的… Research on intrusion detection
method based on improved … Explaining and harnessing adversarial examples[J]. arXiv …

… of artificial intelligence. As … the latter occurs in the testing phase. This paper introduces the
review of poisoning attack methods in deep learning for the first time, reviews the poisoning …

… deep learning has become one of the most widely studied and applied technologies in the
computer … Kitsune: an ensemble of autoencoders for online network intrusion detection[J]. …

… With deep neural network watermarking becoming a new research topic, multimedia copyright
protection techniques were used for deep learning model protection. Numerous methods …

… Abstract: Malware detection methods based on gray images and deep learning have the …
However, it is difficult to reduce the detection accuracy of this kind of detection method greatly …