You can access the distribution details by navigating to My Print Books(POD) > Distribution

Add a Review
Type: Print Book
Genre: Education & Language
Language: English
Price: ₹320 + shipping
This book ships within India only.
Price: ₹320 + shipping
Dispatched in 5-7 business days.
Shipping Time Extra

Description

This book, "AI-Based Deep Fake Image Detection", explores the growing threat of deep fake
images and the role of artificial intelligence in combating them. Starting with an introduction
to deep fake technology and its societal implications, the book delves into the fundamentals of
AI and computer vision that power detection systems. It examines the techniques behind deep
fake generation, such as Generative Adversarial Networks (GANs) and autoencoders, and
presents advanced AI-based detection strategies. Real-world case studies highlight the
implementation of detection pipelines, dataset handling, and model performance analysis. The
final chapter addresses the evolving challenges, ethical issues, and future trends in the battle
against deep fakes, offering a comprehensive guide for researchers, practitioners, and
policymakers.

About the Authors

Dr Mohit Kumar
Reg.No: NTU/ Postdoc/25-26/234/101
University: Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
Dr. Mohit Kumar is a highly skilled individual with a varied experience in teaching and research, covering a span of 14 years. He received his Ph.D. degree in CSE from Jaipur National University, Jaipur. He is currently working as an Associate Professor in the Department of Computer Science & Engineering at Amity University Jharkhand. He has authored or co-author papers in reputed top-cited journals like IEEE Transaction in Industrial Informatics, IEEE Transaction on Network Science and Engineering, HCIS Springer, Scientific Reports (Nature), Journal of Information Science & Engineering, MDPI Sensors, Symmetry, Electronics, and many more with a cumulative impact factor of >50. Dr. Kumar has also served as a reviewer the for prestigious journals such as the IEEE Internet of Things (IoT) Journal, HCIS Springer, and various others. Dr. Kumar has taken on the role of session chair in various international conferences. Furthermore, he was part of the Technical Program Committee (TPC) and contributed as an organizing committee member for multiple international conferences. He has been granted three patents, authored one book, and is currently working on another book for Springer. Dr. Kumar has also worked as a consultant in Govt. funded projects. His research interest includes Wireless Sensor Networks, Internet of things, Data Science, Machine Learning and Deep Learning.

Dr. Alexei Souri
Associate Professor, College of Computing & Data Science, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798.
Dr. Alexei Sourin was born in Moscow and received his M.Eng. and Ph.D. degrees in computer graphics from the Moscow Engineering Physics Institute, Russia (MEPhI) in 1983 and 1988, respectively. From 1983 to 1993 he was a researcher at MEPhI where he worked on different scientific visualization and computer animation projects. Since 1993 he held faculty positions at Nanyang Technological University (NTU) in Singapore, except a period from 1999 to 2000 when he was Associate Professor at Moscow Institute of Physics and Technology (MIPT). Currently he is a tenured Associate Professor with the College of Computing & Data Science at NTU. His research interests are in shape modeling, multi-modal interaction, music visualization, and automated visual inspection in manufacturing. Dr. Sourin published over 230 referred research papers and was invited to give talks to many scientific events. Dr. Sourin is also one of the pioneers of electronic education in Singapore. From 2012 to 2018, he was a Chair of the IFIP WG5.10 Computer Graphics and Virtual Worlds. Dr. Sourin is a Senior Member of IEEE and a member of ACM SIGGRAPH. He is an associate editor of several international journals including The Visual Computer (Springer) and Transactions on Computational Science (Springer). He was on the program committees of over 120 international conferences. He is a coordinator of the International Conferences on Cyberworlds for which he was also General and Program Chair in many years.

Dr Alvin Chan’s
Assistant Professor, College of Computing & Data Science, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798

Book Details

ISBN: 9781968436117
Publisher: Geh Press
Number of Pages: 138
Dimensions: A4
Interior Pages: B&W
Binding: Paperback (Perfect Binding)
Availability: In Stock (Print on Demand)

Ratings & Reviews

AI-Based Deep Fake Image Detection

AI-Based Deep Fake Image Detection

(Not Available)

Review This Book

Write your thoughts about this book.

Currently there are no reviews available for this book.

Be the first one to write a review for the book AI-Based Deep Fake Image Detection.

Other Books in Education & Language

Shop with confidence

Safe and secured checkout, payments powered by Razorpay. Pay with Credit/Debit Cards, Net Banking, Wallets, UPI or via bank account transfer and Cheque/DD. Payment Option FAQs.