A Comprehensive Survey on Backdoor Attacks and Their Defenses in Face Recognition Systems

Deep learning has significantly transformed face recognition, enabling the deployment of large-scale, state-of-the-art solutions worldwide. However, the widespread adoption of deep neural networks (DNNs) and the rise of Machine Learning as a Service emphasize the need for secure DNNs. This paper rev...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Quentin Le Roux, Eric Bourbao, Yannick Teglia, Kassem Kallas
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Backdoor attacks backdoor defenses biometrics deep neural networks face recognition integrity vulnerabilities
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10480615/