Search Results for author: Kyle Hambrook

Found 3 papers, 1 papers with code

Recovery Guarantees for Compressible Signals with Adversarial Noise

1 code implementation15 Jul 2019 Jasjeet Dhaliwal, Kyle Hambrook

For $\ell_2$-norm bounded noise, we provide recovery guarantees for BP and for the case of $\ell_\infty$-norm bounded noise, we provide recovery guarantees for Dantzig Selector (DS).

DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees

no code implementations13 Jan 2021 Jasjeet Dhaliwal, Kyle Hambrook

Generative priors have been shown to provide improved results over sparsity priors in linear inverse problems.

Compressive Sensing Denoising +1

Compressive Recovery Defense: A Defense Framework for $\ell_0, \ell_2$ and $\ell_\infty$ norm attacks.

no code implementations25 Sep 2019 Jasjeet Dhaliwal, Kyle Hambrook

We provide recovery guarantees for compressible signals that have been corrupted with noise and extend the framework introduced in \cite{bafna2018thwarting} to defend neural networks against $\ell_0$, $\ell_2$, and $\ell_{\infty}$-norm attacks.

Cannot find the paper you are looking for? You can Submit a new open access paper.