DeepFakes: Creation, Detection, and Impact

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.

Deepfakes是一種利用強大的人工智慧（AI）和機器學習（ML）技術生成極為逼真的假視覺和音頻內容的合成媒體，因此很難讓人區分出真假。除了介紹Deepfakes概念的技術性介紹外，本書還詳細介紹了檢測Deepfakes的算法、識別被操縱內容和人臉交換的技術、生成對抗神經網絡、媒體法醫技術、深度學習架構、對Deepfakes的法醫分析等等。

本書的內容包括：
- 提供了Deepfakes的技術介紹，以及其帶來的好處和潛在危害
- 提出了使用深度學習技術創建和檢測Deepfakes的實用方法
- 引起對Deepfakes的各種挑戰性問題和社會影響的關注，並提供現有解決方案
- 包括在DL假造領域的研究分析，以協助創建和檢測Deepfakes應用
- 討論了Deepfakes技術出現後的未來研究方向

本書的目標讀者是數據科學、人工智慧、計算機視覺和機器學習的研究生、研究人員和專業人士。

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.

Loveleen Gaur是印度Noida的Amity國際商學院（Amity International Business School）的教授和計劃主任（人工智能和商業智能和數據分析）。她是高級IEEE會員，也是CRC和Wiley的系列編輯。Gaur教授是一位知名的作者和研究人員，她在人工智能物聯網領域申請了五項專利和兩項版權。她在印度和國外擔任不同職位超過18年。Gaur教授通過參加三百多個科學會議、研討會和研討會，擔任技術會議主席和發表主題演講，顯著地促進了對科學的理解。她專攻人工智能、物聯網、數據分析、數據挖掘和商業智能領域。Gaur教授在真正跨學科領域進行研究，並與Elsevier、Springer、Taylor & Francis等國際和國內知名出版商合著了書籍。她被邀請擔任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。她在國際知名會議上擔任了多個職位，並且是IEEE、SCI和ABDC期刊的評審人。Gaur教授應邀參加了由AICTE贊助的工業4.0、大數據、數據分析和人工智能的FDP和研討會，為印度理工學院（IITs）、國家理工學院（NITs）和知名中央大學提供專業培訓。Gaur教授是多個IEEE國際會議的主題演講嘉賓，也是博士生外部評審/評估人、多個知名期刊的客座編輯、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技術計劃委員會成員。