most citedAdversarially Perturbed Wavelet-based Morphed Face Generation

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

cs.CV20211 cited

Adversarially Perturbed Wavelet-based Morphed Face Generation

Kelsey O'Haire, Sobhan Soleymani, Baaria Chaudhary +3

Morphing is the process of combining two or more subjects in an image in order to create a new identity which contains features of both individuals. Morphed images can fool Facial…

cs.CV2021

Attention Aware Wavelet-based Detection of Morphed Face Images

Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani +2

Morphed images have exploited loopholes in the face recognition checkpoints, e.g., Credential Authentication Technology (CAT), used by Transportation Security Administration (TSA),…

cs.CV2021

Differential Morph Face Detection using Discriminative Wavelet Sub-bands

Baaria Chaudhary, Poorya Aghdaie, Sobhan Soleymani +2

Face recognition systems are extremely vulnerable to morphing attacks, in which a morphed facial reference image can be successfully verified as two or more distinct identities. In…

cs.CV2021

Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands

Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani +2

This work investigates the well-known problem of morphing attacks, which has drawn considerable attention in the biometrics community. Morphed images have exposed face recognition…

cs.CV2020

Differential Morphed Face Detection Using Deep Siamese Networks

Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei +2

Although biometric facial recognition systems are fast becoming part of security applications, these systems are still vulnerable to morphing attacks, in which a facial reference i…