Нүүр зураг

Face De-identification: Safeguarding Identities in the Digital Era

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 d...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Wen, Yunqian (Зохиогч), Liu, Bo (Зохиогч), Song, Li (Зохиогч), Cao, Jingyi (Зохиогч), Xie, Rong (Зохиогч)
Байгууллагын зохиогч: SpringerLink (Online service)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Хэвлэл:1st ed. 2024.
Нөхцлүүд:
Pattern recognition systems.
Data protection > Law and legislation.
Artificial intelligence.
Automated Pattern Recognition.
Privacy.
Artificial Intelligence.
Онлайн хандалт:https://doi.org/10.1007/978-3-031-58222-6
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Агуулга:
  • 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.

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