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Download the fantastic book titled Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity written by Anacleto Correia, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity", which was released on 02 June 2024. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computer networks genre.

Summary of Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity by Anacleto Correia PDF

"This comprehensive and timely book provides an overview of the field of Machine and Deep Learning in the areas of cybersecurity and privacy, followed by an in-depth view of emerging research exploring the theoretical aspects of machine and deep learning, as well as real-world implementations"--

Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity

Detail About Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity PDF

  • Author : Anacleto Correia
  • Publisher : Information Science Reference
  • Genre : Computer networks
  • Total Pages : 0 pages
  • ISBN : 9781799894315
  • PDF File Size : 15,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity by Anacleto Correia. This book is available in ePub and PDF format with a single click unlimited downloads.

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Cyber Security Meets Machine Learning

Cyber Security Meets Machine Learning
  • Publisher : Springer Nature
  • File Size : 34,6 Mb
  • Release Date : 02 July 2021
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Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine

Deep Learning Applications for Cyber Security

Deep Learning Applications for Cyber Security
  • Publisher : Springer
  • File Size : 27,8 Mb
  • Release Date : 14 August 2019
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Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion

AI, Machine Learning and Deep Learning

AI, Machine Learning and Deep Learning
  • Publisher : CRC Press
  • File Size : 28,8 Mb
  • Release Date : 05 June 2023
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Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL

Privacy-Preserving Machine Learning

Privacy-Preserving Machine Learning
  • Publisher : Springer Nature
  • File Size : 22,5 Mb
  • Release Date : 14 March 2022
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This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. In response to the

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Artificial Intelligence for Cybersecurity
  • Publisher : Springer Nature
  • File Size : 45,8 Mb
  • Release Date : 15 July 2022
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This book explores new and novel applications of machine learning, deep learning, and artificial intelligence that are related to major challenges in the field of cybersecurity. The provided research goes

Machine Learning for Cyber Security

Machine Learning for Cyber Security
  • Publisher : Walter de Gruyter GmbH & Co KG
  • File Size : 55,6 Mb
  • Release Date : 05 December 2022
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This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and

Privacy-Preserving Deep Learning

Privacy-Preserving Deep Learning
  • Publisher : Springer Nature
  • File Size : 50,7 Mb
  • Release Date : 22 July 2021
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This book discusses the state-of-the-art in privacy-preserving deep learning (PPDL), especially as a tool for machine learning as a service (MLaaS), which serves as an enabling technology by combining classical

Machine Learning in Cyber Trust

Machine Learning in Cyber Trust
  • Publisher : Springer Science & Business Media
  • File Size : 22,8 Mb
  • Release Date : 05 April 2009
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Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems