239 citations · 261 across the 5 of their papers we have counts for
6 papers
Interference management and capacity analysis for mm-wave picocells in urban canyons
Zhinus Marzi, Upamanyu Madhow
Millimeter (mm) wave picocellular networks are a promising approach for delivering the 1000-fold capacity increase required to keep up with projected demand for wireless data: the…
Robust Adversarial Learning via Sparsifying Front Ends
Soorya Gopalakrishnan, Zhinus Marzi, Metehan Cekic +2
It is by now well-known that small adversarial perturbations can induce classification errors in deep neural networks. In this paper, we take a bottom-up signal processing perspect…
On the information in spike timing: neural codes derived from polychronous groups
Zhinus Marzi, Joao Hespanha, Upamanyu Madhow
There is growing evidence regarding the importance of spike timing in neural information processing, with even a small number of spikes carrying information, but computational mode…
Combating Adversarial Attacks Using Sparse Representations
Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow +1
It is by now well-known that small adversarial perturbations can induce classification errors in deep neural networks (DNNs). In this paper, we make the case that sparse representa…
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers
Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow +1
Deep neural networks represent the state of the art in machine learning in a growing number of fields, including vision, speech and natural language processing. However, recent wor…
Compressive channel estimation and tracking for large arrays in mm wave picocells
Zhinus Marzi, Dinesh Ramasamy, Upamanyu Madhow
We propose and investigate a compressive architecture for estimation and tracking of sparse spatial channels in millimeter (mm) wave picocellular networks. The base stations are eq…