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dc.contributorHei, Xiali-
dc.contributor.authorHu, Fei-
dc.date.accessioned2024-03-30T07:12:18Z-
dc.date.available2024-03-30T07:12:18Z-
dc.date.issued2023-
dc.identifier.urihttp://thuvienso.thanglong.edu.vn//handle/TLU/9721-
dc.description.abstractToday Artificial Intelligence (AI) and Machine/Deep Learning (ML/DL) have become the hottest areas in the information technology. In our society, there are so many intelligent devices that rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms/tools have used in many Internet applications and electronic devices, they are also vulnerable to various attacks and threats. The AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, and many other attacks/threats. Those attacks make the AI products dangerous to usevi
dc.format.extent347psvi
dc.language.isoenvi
dc.publisherCRC Pressvi
dc.subjectComputer networksvi
dc.subjectMachine learningvi
dc.titleAI, machine learning and deep learning : a security perspectivevi
dc.typeSách/Bookvi
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