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A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks. (arXiv:2211.12851v1 [cs.NI])
cs.CR updates on arXiv.org arxiv.org
With the rapid development and integration of artificial intelligence (AI)
methods in next-generation networks (NextG), AI algorithms have provided
significant advantages for NextG in terms of frequency spectrum usage,
bandwidth, latency, and security. A key feature of NextG is the integration of
AI, i.e., self-learning architecture based on self-supervised algorithms, to
improve the performance of the network. A secure AI-powered structure is also
expected to protect NextG networks against cyber-attacks. However, AI itself
may be attacked, i.e., model poisoning targeted …
artificial artificial intelligence intelligence networks platform trust wireless