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DC Field | Value | Language |
---|---|---|
dc.contributor | Hei, Xiali | - |
dc.contributor.author | Hu, Fei | - |
dc.date.accessioned | 2024-03-30T07:12:18Z | - |
dc.date.available | 2024-03-30T07:12:18Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/9721 | - |
dc.description.abstract | Today 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 use | vi |
dc.format.extent | 347ps | vi |
dc.language.iso | en | vi |
dc.publisher | CRC Press | vi |
dc.subject | Computer networks | vi |
dc.subject | Machine learning | vi |
dc.title | AI, machine learning and deep learning : a security perspective | vi |
dc.type | Sách/Book | vi |
Appears in Collections | Tin học |
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