18 citations · 108 across the 21 of their papers we have counts for
24 papers
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar, Ajmal Mian, Navid Kardan +1
Deep Learning (DL) is the most widely used tool in the contemporary field of computer vision. Its ability to accurately solve complex problems is employed in vision research to lea…
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought
Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar
Deep learning is gaining instant popularity in computer aided diagnosis of COVID-19. Due to the high sensitivity of Computed Tomography (CT) to this disease, CT-based COVID-19 dete…
Controlled Caption Generation for Images Through Adversarial Attacks
Nayyer Aafaq, Naveed Akhtar, Wei Liu +2
Deep learning is found to be vulnerable to adversarial examples. However, its adversarial susceptibility in image caption generation is under-explored. We study adversarial example…
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun +1
Backpropagation image saliency aims at explaining model predictions by estimating model-centric importance of individual pixels in the input. However, class-insensitivity of the ea…
Attack to Fool and Explain Deep Networks
Naveed Akhtar, Muhammad A. A. K. Jalwana, Mohammed Bennamoun +1
Deep visual models are susceptible to adversarial perturbations to inputs. Although these signals are carefully crafted, they still appear noise-like patterns to humans. This obser…
Picasso: A CUDA-based Library for Deep Learning over 3D Meshes
Huan Lei, Naveed Akhtar, Ajmal Mian
We present Picasso, a CUDA-based library comprising novel modules for deep learning over complex real-world 3D meshes. Hierarchical neural architectures have proved effective in mu…