10 papers analyzed
These studies suggest that adversarial attacks on face recognition systems can significantly reduce their accuracy and detection probability, with various methods like deep representation attacks, generative adversarial networks, and adversarial stickers being particularly effective, while some approaches focus on improving resilience and detection of such attacks.
Cross-resolution face recognition adversarial attacks
Attacks on state-of-the-art face recognition using attentional adversarial attack generative network
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components
Delving into the Adversarial Robustness on Face Recognition
Meaningful Adversarial Stickers for Face Recognition in Physical World
An efficient face recognition attack method based on generative adversarial networks and cosine metrics
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain
Adversarial Attacks Against Face Recognition: A Comprehensive Study
Detection of Face Recognition Adversarial Attacks
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
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financial development