Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks

Morphing attacks is a threat to biometric systems where the biometric reference in an identity document can be altered. This form of attack presents an important issue in applications relying on identity documents such as border security or access control... (read more)

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Datasets


Introduced in the Paper:

FRLL-Morphs FERET-Morphs FRGC-Morphs

Mentioned in the Paper:

FFHQ FRGC Color FERET

Results from the Paper


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Methods used in the Paper


METHOD TYPE
Feedforward Network
Feedforward Networks
Leaky ReLU
Activation Functions
R1 Regularization
Regularization
Dropout
Regularization
ReLU
Activation Functions
Max Pooling
Pooling Operations
Convolution
Convolutions
Dense Connections
Feedforward Networks
Softmax
Output Functions
VGG
Convolutional Neural Networks
Adaptive Instance Normalization
Normalization
StyleGAN
Generative Models
ArcFace
Loss Functions