Adversarial Attacks Against Face Recognition: A Comprehensive Study

Adversarial Attacks Against Face Recognition: A Comprehensive Study

Face recognition (FR) systems have demonstrated reliable verification performance, suggesting suitability for real-world applications ranging from photo tagging in social media to automated border control (ABC). In an advanced FR system with deep learning-based architecture, however, promoting the r...

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Bibliographic Details
Main Authors: Fatemeh Vakhshiteh, Ahmad Nickabadi, Raghavendra Ramachandra
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Biometrics
face recognition
adversarial attacks
adversarial perturbation
deep learning
Online Access:https://ieeexplore.ieee.org/document/9464957/

Internet

https://ieeexplore.ieee.org/document/9464957/

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