The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Demystifying Deepfakes: Understanding Its Technological Landscape
Abstract
Deepfakes are emerging topic at the nexus of multimedia & AI that have experienced a significant surge in recent years. AI is experiencing a technical upsurge with the creation of hyper-realistic video, audio, & images produced by algorithms known as deepfakes. The world was enthralled by the introduction of deepfake, a new method of media manipulation. Deep learning algorithms enable the manipulation & creation of digital information that is incredibly realistic & difficult to distinguish from actual content, leading to the creation of fake media. Although deepfakes can be useful for study, education, & entertainment, they also present a number of serious issues in a number of different fields, including fraud, political manipulation, disinformation, & reputational harm. This chapter examines how deepfakes are created & detected. It investigates ways to counteract deepfake's adversarial purposes. It provide readers a better grasp of the trends & breakthroughs that are currently occurring in this field, & the areas that still need to be researched/addressed.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|