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cs.LG2023
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…
cs.LG2020
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…