Face De-Identification: Safeguarding Identities in the Digital Era
Wen, Yunqian, Liu, Bo, Song, Li
- 出版商: Springer
- 出版日期: 2024-07-06
- 售價: $7,030
- 貴賓價: 9.5 折 $6,679
- 語言: 英文
- 頁數: 188
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031582217
- ISBN-13: 9783031582219
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相關主題
商品描述
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.
商品描述(中文翻譯)
本書提供了最先進的臉部去識別技術和隱私保護方法，同時突顯了在保護個人資訊方面所面臨的挑戰。書中介紹了三種創新的影像隱私保護方法，包括差分私密 k-匿名性、身份差分隱私保證以及個性化和可逆的臉部去識別。此外，作者提出了一種新穎的可逆臉部視頻去識別架構，利用深度運動流確保視頻幀之間的無縫隱私保護。
本書深入探討了在先進的基於 AI 的臉部識別技術和普遍監控時代中，快速發展的臉部去識別和隱私保護領域。這本富有洞察力的書籍帶領讀者踏上探索臉部識別、人工智慧、社交網絡以及個人在日常生活中留下的數位足跡所帶來的挑戰的旅程。作者還探討了隱私保護的新興趨勢，並討論了未來的研究方向。
從事計算機科學、人工智慧、機器學習、數據隱私和網絡安全的研究人員，以及主修計算機科學的高級學生，將會發現本書作為參考或輔助教材非常有用。從事生物識別、數據安全、軟體開發和臉部識別技術的專業人士，以及政策制定者和政府官員也會希望購買本書。
作者簡介
Yunqian Wen received the B.S. degree from Beihang University, China, in 2018. She received Ph.D. degree from the Department of Electronic Engineering, Shanghai Jiao Tong University, China, in 2023. She is currently an engineer at the Shanghai Aerospace Electronic and Communication Equipment Research Institute. Her research interests include image privacy, privacy protection, and computer vision.
Bo Liu received his PhD. degree from the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China in 2010. He is currently an Associate Professor at the University of Technology Sydney, Australia. His research interests include cybersecurity and privacy, location privacy and image privacy, privacy protection and machine learning, wireless communications and networks. He is an IEEE Senior Member and Associate Editor of IEEE Transactions on Broadcasting.
Li Song received the B.E. and M.S. degrees in engineering and the Ph.D. degree in electrical engineering from Shanghai Jiao Tong University (SJTU) in 1997, 2000, and 2005, respectively. He joined SJTU as a Faculty Member and is currently a Full Professor with the Department of Electronic Engineering. He was also a Visiting Professor with Santa Clara University from 2011 to 2012. His research interests include video processing and multimedia systems. He was a recipient of the National Science and Technology Progress Award in 2015, the Okawa Foundation Research Grant in 2012, the Best Paper Award of the IEEE Circuits and Systems Society Visual Signal Processing and Technical Committee (IEEE CASS VSPCTC) in 2022, the Second Place Award from IEEE ICME-Twitch Grand Challenge in 2017, the Best 10% Paper Award from the IEEE VCIP in 2016, and the Best Paper Award from the International Conference on Wireless Communications and Signal Processing in 2010. He is an IEEE Senior Member and has been serving as an Associate Editor for Multidimensional Systems and Signal Processing from 2012 to 2018 and a Guest Editor for the IEEE Transactions on Broadcasting, special issue on quality of experience for advanced broadcast services in 2018.
Jingyi Cao received the B.E. degree from Shanghai Jiao Tong University, China, in 2021, where she is currently pursuing the master's degree with the Department of Electronic Engineering. Her research interests include image privacy, computer vision, and machine learning.
Rong Xie received the bachelor's and master's degrees in electrical engineering from Northeast Dianli University, Jilin, China, in 1996 and 1999, respectively, and the Ph.D. degree in electrical engineering from Zhejiang University in 2002. She joined Shanghai Jiao Tong University as an Assistant Professor in 2002, where she is currently an Associate Professor with the Department of Electronic Engineering. Her research interests are in the areas of video coding and image processing.
作者簡介(中文翻譯)
Yunqian Wen於2018年獲得中國北京航空航天大學的學士學位，並於2023年獲得中國上海交通大學電子工程系的博士學位。她目前是上海航天電子通信設備研究所的工程師。她的研究興趣包括影像隱私、隱私保護和計算機視覺。
Bo Liu於2010年獲得中國上海交通大學電子工程系的博士學位。現在他是澳大利亞悉尼科技大學的副教授。他的研究興趣包括網絡安全與隱私、位置隱私與影像隱私、隱私保護與機器學習、無線通信與網絡。他是IEEE資深會員，並擔任IEEE Transactions on Broadcasting的副編輯。
Li Song於1997年、2000年和2005年分別獲得上海交通大學的工程學學士、碩士及電氣工程博士學位。他於2002年加入上海交通大學擔任教職，目前是電子工程系的正教授。他曾於2011至2012年擔任聖克拉拉大學的訪問教授。他的研究興趣包括視頻處理和多媒體系統。他於2015年獲得國家科技進步獎，2012年獲得大川財團研究獎，2022年獲得IEEE Circuits and Systems Society視覺信號處理技術委員會的最佳論文獎，2017年獲得IEEE ICME-Twitch大挑戰的第二名獎，2016年獲得IEEE VCIP的最佳10%論文獎，以及2010年國際無線通信與信號處理會議的最佳論文獎。他是IEEE資深會員，並於2012至2018年擔任Multidimensional Systems and Signal Processing的副編輯，於2018年擔任IEEE Transactions on Broadcasting的特刊客座編輯，專注於先進廣播服務的體驗質量。
Jingyi Cao於2021年獲得中國上海交通大學的工程學學士學位，目前在電子工程系攻讀碩士學位。她的研究興趣包括影像隱私、計算機視覺和機器學習。
Rong Xie於1996年和1999年分別獲得中國吉林東北電力大學的電氣工程學士和碩士學位，並於2002年獲得浙江大學的電氣工程博士學位。她於2002年加入上海交通大學擔任助理教授，目前是電子工程系的副教授。她的研究興趣包括視頻編碼和影像處理。
