9 citations · 9 across the 3 of their papers we have counts for
4 papers
Fixed Inter-Neuron Covariability Induces Adversarial Robustness
Muhammad Ahmed Shah, Bhiksha Raj
The vulnerability to adversarial perturbations is a major flaw of Deep Neural Networks (DNNs) that raises question about their reliability when in real-world scenarios. On the othe…
Training on Foveated Images Improves Robustness to Adversarial Attacks
Muhammad A. Shah, Bhiksha Raj
Deep neural networks (DNNs) have been shown to be vulnerable to adversarial attacks -- subtle, perceptually indistinguishable perturbations of inputs that change the response of th…
Exploiting Non-Linear Redundancy for Neural Model Compression
Muhammad A. Shah, Raphael Olivier, Bhiksha Raj
Deploying deep learning models, comprising of non-linear combination of millions, even billions, of parameters is challenging given the memory, power and compute constraints of the…
Inferring Room Semantics Using Acoustic Monitoring
Muhammad A. Shah, Bhiksha Raj, Khaled A. Harras
Having knowledge of the environmental context of the user i.e. the knowledge of the users' indoor location and the semantics of their environment, can facilitate the development of…