23 citations · 27 across the 10 of their papers we have counts for
11 papers
TRIGS: Trojan Identification from Gradient-based Signatures
Mohamed E. Hussein, Sudharshan Subramaniam Janakiraman, Wael AbdAlmageed
Training machine learning models can be very expensive or even unaffordable. This may be, for example, due to data limitations, such as unavailability or being too large, or comput…
Explaining Face Presentation Attack Detection Using Natural Language
Hengameh Mirzaalian, Mohamed E. Hussein, Leonidas Spinoulas +2
A large number of deep neural network based techniques have been developed to address the challenging problem of face presentation attack detection (PAD). Whereas such techniques'…
Introducing the DOME Activation Functions
Mohamed E. Hussein, Wael AbdAlmageed
In this paper, we introduce a novel non-linear activation function that spontaneously induces class-compactness and regularization in the embedding space of neural networks. The fu…
Multi-Modal Fingerprint Presentation Attack Detection: Evaluation On A New Dataset
Leonidas Spinoulas, Hengameh Mirzaalian, Mohamed Hussein +1
Fingerprint presentation attack detection is becoming an increasingly challenging problem due to the continuous advancement of attack preparation techniques, which generate realist…
Multispectral Biometrics System Framework: Application to Presentation Attack Detection
Leonidas Spinoulas, Mohamed Hussein, David Geissbühler +5
In this work, we present a general framework for building a biometrics system capable of capturing multispectral data from a series of sensors synchronized with active illumination…
On the Effectiveness of Laser Speckle Contrast Imaging and Deep Neural Networks for Detecting Known and Unknown Fingerprint Presentation Attacks
Hengameh Mirzaalian, Mohamed Hussein, Wael Abd-Almageed
Fingerprint presentation attack detection (FPAD) is becoming an increasingly challenging problem due to the continuous advancement of attack techniques, which generate `realistic-l…