8 citations · 23 across the 22 of their papers we have counts for
3 papers · 1 filter
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani +2
Deep neural networks are susceptible to adversarial manipulations in the input domain. The extent of vulnerability has been explored intensively in cases of -bounded and $\…
Defending Against Adversarial Iris Examples Using Wavelet Decomposition
Sobhan Soleymani, Ali Dabouei, Jeremy Dawson +1
Deep neural networks have presented impressive performance in biometric applications. However, their performance is highly at risk when facing carefully crafted input samples known…
Adversarial Examples to Fool Iris Recognition Systems
Sobhan Soleymani, Ali Dabouei, Jeremy Dawson +1
Adversarial examples have recently proven to be able to fool deep learning methods by adding carefully crafted small perturbation to the input space image. In this paper, we study…