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Ultimate Deepfake Detection Using Python

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Title: Ultimate Deepfake Detection Using Python
Description: In today's digital world, mastering deepfake detection is crucial, with deepfake content increasing by 900% since 2019 and 96% used for malicious purposes like fraud and disinformation.'Ultimate Deepfake Detection with Python'equips you with the skills to combat this threat using Python's AI libraries, offering practical tools to protect digital security across images, videos, and audio. This book explores generative AI and deepfakes, giving readers a clear understanding of how these technologies work and the challenges of detecting them. With practical Python code examples, it provides the tools necessary for effective deepfake detection across media types like images, videos, and audio. Each chapter covers vital topics, from setting up Python environments to using key datasets and advanced deep learning techniques. Perfect for researchers, developers, and cybersecurity professionals, this book enhances technical skills and deepens awareness of the ethical issues around deepfakes. Whether building new detection systems or improving current ones, this book offers expert strategies to stay ahead in digital media security.
Authors: Dr. Nimrita Koul
Resource Type: eBook.
Subjects: Computers, Computer vision, Artificial intelligence, Neural networks (Computer science), Electronic books, Pattern recognition systems
Categories: COMPUTERS / Artificial Intelligence / General
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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  Availability: 0
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DbLabel: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: In today's digital world, mastering deepfake detection is crucial, with deepfake content increasing by 900% since 2019 and 96% used for malicious purposes like fraud and disinformation.'Ultimate Deepfake Detection with Python'equips you with the skills to combat this threat using Python's AI libraries, offering practical tools to protect digital security across images, videos, and audio. This book explores generative AI and deepfakes, giving readers a clear understanding of how these technologies work and the challenges of detecting them. With practical Python code examples, it provides the tools necessary for effective deepfake detection across media types like images, videos, and audio. Each chapter covers vital topics, from setting up Python environments to using key datasets and advanced deep learning techniques. Perfect for researchers, developers, and cybersecurity professionals, this book enhances technical skills and deepens awareness of the ethical issues around deepfakes. Whether building new detection systems or improving current ones, this book offers expert strategies to stay ahead in digital media security.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Computers
        Type: general
      – SubjectFull: Computer vision
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Neural networks (Computer science)
        Type: general
      – SubjectFull: Electronic books
        Type: general
      – SubjectFull: Pattern recognition systems
        Type: general
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      – TitleFull: Ultimate Deepfake Detection Using Python
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
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              Value: 9788197953422
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