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.CV2021

Morph Detection Enhanced by Structured Group Sparsity

Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani +2

In this paper, we consider the challenge of face morphing attacks, which substantially undermine the integrity of face recognition systems such as those adopted for use in border p…

cs.CV2021★ 1 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…