Face De-identification: Safeguarding Identities in the Digital Era
Yunqian Wen, Bo Liu, Li Song, Jingyi Cao, Rong Xie
Welcome to “Face De-identification: Safeguarding Identities in the Digital Era.” As the author/editor of this book, I am honored to present this comprehensive exploration into the intricate realm of safeguarding identities in an increasingly digital landscape.
The idea for this book stemmed from a deep-rooted concern for privacy and security in today’s technologically advanced world. The scope of this work encompasses an extensive study of face de-identification techniques, aiming to address the critical challenges faced in protecting identities amid the pervasive use of facial recognition technologies.
Our intent with this book is to offer a thorough examination of various face de-identification methodologies, elucidating their intricacies, strengths, and limitations. Through a structured approach, we have endeavored to present an array of techniques, from obfuscation-based methods to advanced deep generative models, catering to a diverse audience interested in understanding the multifaceted aspects of preserving privacy in digital spaces.
This book is designed for scholars, researchers, practitioners, policymakers, and individuals curious about the intersection of technology and privacy. It serves as a resource for academics delving into the complexities of identity protection, professionals implementing privacy measures, and enthusiasts seeking a deeper understanding of face de-identification in an evolving digital world.
The idea for this book stemmed from a deep-rooted concern for privacy and security in today’s technologically advanced world. The scope of this work encompasses an extensive study of face de-identification techniques, aiming to address the critical challenges faced in protecting identities amid the pervasive use of facial recognition technologies.
Our intent with this book is to offer a thorough examination of various face de-identification methodologies, elucidating their intricacies, strengths, and limitations. Through a structured approach, we have endeavored to present an array of techniques, from obfuscation-based methods to advanced deep generative models, catering to a diverse audience interested in understanding the multifaceted aspects of preserving privacy in digital spaces.
This book is designed for scholars, researchers, practitioners, policymakers, and individuals curious about the intersection of technology and privacy. It serves as a resource for academics delving into the complexities of identity protection, professionals implementing privacy measures, and enthusiasts seeking a deeper understanding of face de-identification in an evolving digital world.
Kategori:
Tahun:
2024
Penerbit:
springer
Bahasa:
english
Halaman:
193
Fail:
PDF, 7.85 MB
IPFS:
,
english, 2024