Neural Network: Predator, Victim, and Information Security Tool


연구 분야: Networking



학회: Optical Memory and Neural Networks


초록

The article deals with information security problems associated with neural networks. Malicious neural networks, attacks on neural networks, the use of neural networks as an information security tool, and neural network attack tools are considered. Methods for improving the information security of systems that include neural network components are proposed.


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V. B. Betelin

Federal Scientific Center Scientific Research Institute for System Analysis of the Russian Academy of Sciences (FSI FSC SRISA RAS) 117218 Moscow Russia

Russia
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V. A. Galatenko

Federal Scientific Center Scientific Research Institute for System Analysis of the Russian Academy of Sciences (FSI FSC SRISA RAS) 117218 Moscow Russia

Russia
Author Profile
K. A. Kostiukhin

Federal Scientific Center Scientific Research Institute for System Analysis of the Russian Academy of Sciences (FSI FSC SRISA RAS) 117218 Moscow Russia

Russia

📄 논문 정보

발행 연도 2023년
인용수 3
출판 국가 Russia
사이트 Springer
좋아요 수 0

연관 논문 목록 (209건)