AI, machine learning and deep learning: a security perspective
"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 m...
Gespeichert in:
| Weitere beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton
CRC Press
2023
|
| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781000878899/?ar |
| Zusammenfassung: | "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. While the above discussion focuses on the security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models/algorithms can be used for cyber security (i.e., use AI to achieve security). Since the AI/ML/DL security is a new emergent field, many researchers and industry people cannot obtain detailed, comprehensive understanding of this area. This book aims to provide a complete picture on the challenges and solutions to the security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then many sets of promising solutions are described to achieve AI security and privacy in this book. The features of this book consist of 7 aspects: This is the first book to explain various practical attacks and countermeasures to AI systems; Both quantitative math models and practical security implementations are provided; It covers both "securing the AI system itself" and "use AI to achieve security"; It covers all the advanced AI attacks and threats with detailed attack models; It provides the multiple solution spaces to the security and privacy issues in AI tools; The differences among ML and DL security/privacy issues are explained. Many practical security applications are covered"-- |
| Beschreibung: | Includes bibliographical references and index. - Description based on print version record |
| Umfang: | 1 Online-Ressource illustrations. |
| ISBN: | 9781003187158 1003187153 9781000878875 1000878872 9781000878899 1000878899 |
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| 650 | 0 | |a Computer networks |x Security measures | |
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| 650 | 0 | |a Deep learning (Machine learning) |x Security measures | |
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| 650 | 0 | |a Artificial intelligence | |
| 650 | 4 | |a Réseaux d'ordinateurs ; Sécurité ; Mesures | |
| 650 | 4 | |a Apprentissage automatique ; Sécurité ; Mesures | |
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| 650 | 4 | |a Sécurité informatique ; Informatique | |
| 650 | 4 | |a Intelligence artificielle | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a COMPUTERS / Artificial Intelligence | |
| 650 | 4 | |a COMPUTERS / Networking / Security | |
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| discipline | Informatik |
| edition | First edition. |
| format | Electronic eBook |
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| id | ZDB-30-ORH-10006549X |
| illustrated | Illustrated |
| indexdate | 2025-04-10T09:36:43Z |
| institution | BVB |
| isbn | 9781003187158 1003187153 9781000878875 1000878872 9781000878899 1000878899 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
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| physical | 1 Online-Ressource illustrations. |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | CRC Press |
| record_format | marc |
| spelling | AI, machine learning and deep learning a security perspective edited by Fei Hu and Xiali Hei First edition. 2305 Boca Raton CRC Press 2023 1 Online-Ressource illustrations. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on print version record "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. While the above discussion focuses on the security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models/algorithms can be used for cyber security (i.e., use AI to achieve security). Since the AI/ML/DL security is a new emergent field, many researchers and industry people cannot obtain detailed, comprehensive understanding of this area. This book aims to provide a complete picture on the challenges and solutions to the security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then many sets of promising solutions are described to achieve AI security and privacy in this book. The features of this book consist of 7 aspects: This is the first book to explain various practical attacks and countermeasures to AI systems; Both quantitative math models and practical security implementations are provided; It covers both "securing the AI system itself" and "use AI to achieve security"; It covers all the advanced AI attacks and threats with detailed attack models; It provides the multiple solution spaces to the security and privacy issues in AI tools; The differences among ML and DL security/privacy issues are explained. Many practical security applications are covered"-- Computer networks Security measures Machine learning Security measures Deep learning (Machine learning) Security measures Computer security Data processing Artificial intelligence Réseaux d'ordinateurs ; Sécurité ; Mesures Apprentissage automatique ; Sécurité ; Mesures Apprentissage profond ; Sécurité ; Mesures Sécurité informatique ; Informatique Intelligence artificielle artificial intelligence COMPUTERS / Artificial Intelligence COMPUTERS / Networking / Security COMPUTERS / Security / General Computer networks ; Security measures Hu, Fei 1972- HerausgeberIn edt Hei, Xiali HerausgeberIn edt 9781032034041 Erscheint auch als Druck-Ausgabe 9781032034041 |
| spellingShingle | AI, machine learning and deep learning a security perspective Computer networks Security measures Machine learning Security measures Deep learning (Machine learning) Security measures Computer security Data processing Artificial intelligence Réseaux d'ordinateurs ; Sécurité ; Mesures Apprentissage automatique ; Sécurité ; Mesures Apprentissage profond ; Sécurité ; Mesures Sécurité informatique ; Informatique Intelligence artificielle artificial intelligence COMPUTERS / Artificial Intelligence COMPUTERS / Networking / Security COMPUTERS / Security / General Computer networks ; Security measures |
| title | AI, machine learning and deep learning a security perspective |
| title_auth | AI, machine learning and deep learning a security perspective |
| title_exact_search | AI, machine learning and deep learning a security perspective |
| title_full | AI, machine learning and deep learning a security perspective edited by Fei Hu and Xiali Hei |
| title_fullStr | AI, machine learning and deep learning a security perspective edited by Fei Hu and Xiali Hei |
| title_full_unstemmed | AI, machine learning and deep learning a security perspective edited by Fei Hu and Xiali Hei |
| title_short | AI, machine learning and deep learning |
| title_sort | ai machine learning and deep learning a security perspective |
| title_sub | a security perspective |
| topic | Computer networks Security measures Machine learning Security measures Deep learning (Machine learning) Security measures Computer security Data processing Artificial intelligence Réseaux d'ordinateurs ; Sécurité ; Mesures Apprentissage automatique ; Sécurité ; Mesures Apprentissage profond ; Sécurité ; Mesures Sécurité informatique ; Informatique Intelligence artificielle artificial intelligence COMPUTERS / Artificial Intelligence COMPUTERS / Networking / Security COMPUTERS / Security / General Computer networks ; Security measures |
| topic_facet | Computer networks Security measures Machine learning Security measures Deep learning (Machine learning) Security measures Computer security Data processing Artificial intelligence Réseaux d'ordinateurs ; Sécurité ; Mesures Apprentissage automatique ; Sécurité ; Mesures Apprentissage profond ; Sécurité ; Mesures Sécurité informatique ; Informatique Intelligence artificielle artificial intelligence COMPUTERS / Artificial Intelligence COMPUTERS / Networking / Security COMPUTERS / Security / General Computer networks ; Security measures |
| work_keys_str_mv | AT hufei aimachinelearninganddeeplearningasecurityperspective AT heixiali aimachinelearninganddeeplearningasecurityperspective |