Search Results for author: Raghuraman Mudumbai

Found 3 papers, 0 papers with code

Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks

no code implementations25 May 2019 Jirong Yi, Hui Xie, Leixin Zhou, Xiaodong Wu, Weiyu Xu, Raghuraman Mudumbai

In this paper, we present a simple hypothesis about a feature compression property of artificial intelligence (AI) classifiers and present theoretical arguments to show that this hypothesis successfully accounts for the observed fragility of AI classifiers to small adversarial perturbations.

Subspace based low rank and joint sparse matrix recovery

no code implementations5 Dec 2014 Sampurna Biswas, Sunrita Poddar, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob

We consider the recovery of a low rank and jointly sparse matrix from under sampled measurements of its columns.

Time Series

Two step recovery of jointly sparse and low-rank matrices: theoretical guarantees

no code implementations5 Dec 2014 Sampurna Biswas, Sunrita Poddar, Soura Dasgupta, Raghuraman Mudumbai, Mathews Jacob

We introduce a two step algorithm with theoretical guarantees to recover a jointly sparse and low-rank matrix from undersampled measurements of its columns.

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