2 citations · 3 across the 4 of their papers we have counts for
4 papers
Fantastic DNN Classifiers and How to Identify them without Data
Nathaniel Dean, Dilip Sarkar
Current algorithms and architecture can create excellent DNN classifier models from example data. In general, larger training datasets result in better model estimations, which imp…
A Perturbation Resistant Transformation and Classification System for Deep Neural Networks
Nathaniel Dean, Dilip Sarkar
Deep convolutional neural networks accurately classify a diverse range of natural images, but may be easily deceived when designed, imperceptible perturbations are embedded in the…
All Infections are Not Created Equal: Time-Sensitive Prediction of Malware Generated Network Attacks
Zainab Abaid, Dilip Sarkar, Mohamed Ali Kaafar +1
Many techniques have been proposed for quickly detecting and containing malware-generated network attacks such as large-scale denial of service attacks; unfortunately, much damage…
On multiple connectedness of regions visible due to multiple diffuse reflections
Sudebkumar Prasant Pal, Dilip Sarkar
It is known that the region of a simple polygon , directly visible (illuminable) from an internal point , is simply connected. Aronov et al. \cite{addpp981} establishe…