DeepFakes: Creation, Detection, and Impact
暫譯: 深度偽造：創建、檢測與影響

Gaur, Loveleen

DeepFakes: Creation, Detection, and Impact
  • 出版商: CRC
  • 出版日期: 2022-09-08
  • 售價: $4,910
  • 貴賓價: 9.5 折 $4,665
  • 語言: 英文
  • 頁數: 148
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103213920X
  • ISBN-13: 9781032139203

    • 海外代購書籍(需單獨結帳)

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商品描述

Deepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of DeepFakes and so forth.

  • Provides a technical introduction to DeepFakes, its benefits, and the potential harms
  • Presents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) Techniques
  • Draws attention towards various challenging issues and societal impact of DeepFakes with their existing solutions
  • Includes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applications
  • Discusses future research directions with emergence of DeepFakes technology

This book is aimed at graduate students, researchers and professionals in data science, artificial intelligence, computer vision, and machine learning.

商品描述(中文翻譯)

深偽技術（Deepfakes）是一種合成媒體，利用強大的人工智慧（Artificial Intelligence, AI）和機器學習（Machine Learning, ML）技術生成極為真實的虛假視覺和音頻內容，因此使人類很難區分其與原始內容的差異。除了對深偽技術概念的技術介紹外，本書詳細說明了檢測深偽技術的算法、識別操控內容和臉部交換的技術、生成對抗神經網絡（Generative Adversarial Neural Networks）、媒體取證技術、深度學習架構、深偽技術的取證分析等內容。

- 提供深偽技術的技術介紹、其優點及潛在危害
- 提出使用深度學習（Deep Learning, DL）技術創建和檢測深偽技術的實用方法
- 引起對深偽技術各種挑戰性問題及其社會影響的關注，並提供現有解決方案
- 包含在深度學習虛假內容領域的研究分析，以協助創建和檢測深偽技術應用
- 討論隨著深偽技術的出現而產生的未來研究方向

本書旨在針對數據科學、人工智慧、計算機視覺和機器學習領域的研究生、研究人員和專業人士。

作者簡介

Loveleen Gaur is the Professor and Program Director (Artificial Intelligence and Business Intelligence and Data Analytics of the Amity International Business School, Amity University, Noida, India. She is senior IEEE member and Series Editor with CRC and Wiley. Prof Gaur is an established Author, Researcher, she has filed five patents and two copyrights in AI-IoT. For over 18 years she served in India and abroad in different capacities. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in over three hundred scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks. She has specialized in the fields of Artificial Intelligence, Internet of Things, Data Analytics, Data Mining and Business Intelligence. Prof. Gaur pursued research in truly inter-disciplinary areas and authored and co-authored Books with renowned International and National publishers like Elsevier, Springer, Taylor & Francis. She is invited as Guest Editor for Springer NASA Journal and Emerald Q1 journals. She has published many research papers in SCI and Q1 Journals. She has chaired various positions in International Conferences of repute and is a reviewer with top rated journals of IEEE, SCI and ABDC Journals. Prof Gaur has been invited for AICTE sponsored FDPs and workshops in Industry 4.0, Big Data, Data Analytics and Artificial Intelligence for IITs, NITs and reputed central universities. Prof Gaur is keynote speaker for several IEEE international conferences globally, external examiner/evaluator for PhD, Guest editor of several reputed journals, member of the editorial board of several research journals, and active TPC member of reputed conferences around the globe.

作者簡介(中文翻譯)

Loveleen Gaur 是印度諾伊達阿米提大學（Amity University, Noida, India）阿米提國際商學院（Amity International Business School）的教授及計畫主任（人工智慧與商業智慧及數據分析）。她是資深的 IEEE 會員，並擔任 CRC 和 Wiley 的系列編輯。Gaur 教授是一位知名的作者和研究者，已在人工智慧物聯網（AI-IoT）領域申請了五項專利和兩項著作權。在過去的 18 年中，她在印度及國外擔任不同職位。Gaur 教授透過參加超過三百場科學會議、研討會和座談會，擔任技術會議主席並發表專題演講，顯著提升了科學理解。她專注於人工智慧、物聯網、數據分析、數據挖掘和商業智慧等領域。Gaur 教授在真正的跨學科領域進行研究，並與知名的國際和國內出版社如 Elsevier、Springer、Taylor & Francis 合著和編著書籍。她受邀擔任 Springer NASA Journal 和 Emerald Q1 期刊的客座編輯。她在 SCI 和 Q1 期刊上發表了許多研究論文。她在多個知名國際會議中擔任各種職位，並擔任 IEEE、SCI 和 ABDC 期刊的評審。Gaur 教授受邀參加 AICTE 贊助的 FDP 和工業 4.0、大數據、數據分析及人工智慧的工作坊，針對 IIT、NIT 和知名中央大學進行講授。她是多場全球 IEEE 國際會議的主題演講者，擔任博士學位的外部考官/評估者，並是多個知名期刊的客座編輯，還是多個研究期刊的編輯委員會成員，以及全球知名會議的活躍 TPC 成員。

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