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

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...

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Bibliographic Details
Main Authors: Quentin Le Roux, Eric Bourbao, Yannick Teglia, Kassem Kallas
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Backdoor attacks
backdoor defenses
biometrics
deep neural networks
face recognition
integrity vulnerabilities
Online Access:https://ieeexplore.ieee.org/document/10480615/

Internet

https://ieeexplore.ieee.org/document/10480615/

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