Face De-identification: Safeguarding Identities in the Digital Era (Record no. 88504)
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000 -LEADER | |
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fixed length control field | 04329nam a22005775i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-58222-6 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730172720.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240706s2024 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031582226 |
-- | 978-3-031-58222-6 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.4 |
100 1# - AUTHOR NAME | |
Author | Wen, Yunqian. |
245 10 - TITLE STATEMENT | |
Title | Face De-identification: Safeguarding Identities in the Digital Era |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2024. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVIII, 188 p. 53 illus., 49 illus. in color. |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Facial Recognition Technology and the Privacy Risks -- Overview of Face De-identification Techniques -- Face Image Privacy Protection with Differential Private k-anonymity -- Differential Private Identification Protection for Face Images -- Personalized and Invertible Face De-identification -- High Quality Face De-identification with Model Explainability -- Deep Motion Flow Guided Reversible Face Video De-Identification -- Future Prospects and Challenges -- Conclusion. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book provides state-of-the-art Face De-Identification techniques and privacy protection methods, while highlighting the challenges faced in safeguarding personal information. It presents three innovative image privacy protection approaches, including differential private k-anonymity, identity differential privacy guarantee and personalized and invertible Face De-Identification. In addition, the authors propose a novel architecture for reversible Face Video De-Identification, which utilizes deep motion flow to ensure seamless privacy protection across video frames. This book is a compelling exploration of the rapidly evolving field of Face De-Identification and privacy protection in the age of advanced AI-based face recognition technology and pervasive surveillance. This insightful book embarks readers on a journey through the intricate landscape of facial recognition, artificial intelligence, social network and the challenges posed by the digital footprint left behind by individuals in their daily lives. The authors also explore emerging trends in privacy protection and discuss future research directions. Researchers working in computer science, artificial intelligence, machine learning, data privacy and cybersecurity as well as advanced-level students majoring in computers science will find this book useful as reference or secondary text. Professionals working in the fields of biometrics, data security, software development and facial recognition technology as well as policymakers and government officials will also want to purchase this book. . |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Law and legislation. |
700 1# - AUTHOR 2 | |
Author 2 | Liu, Bo. |
700 1# - AUTHOR 2 | |
Author 2 | Song, Li. |
700 1# - AUTHOR 2 | |
Author 2 | Cao, Jingyi. |
700 1# - AUTHOR 2 | |
Author 2 | Xie, Rong. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-58222-6 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer Nature Switzerland : |
-- | Imprint: Springer, |
-- | 2024. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition systems. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data protection |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Automated Pattern Recognition. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Privacy. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
912 ## - | |
-- | ZDB-2-SCS |
912 ## - | |
-- | ZDB-2-SXCS |
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