Paris V. Giampouras

activity

20152023

most citedSimultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing

137 citations · 218 across the 12 of their papers we have counts for

collaborators

Showing 2022Show all

2 papers · 1 filter

cs.LG2022

Reverse Engineering $ℓ_{p}$ attacks: A block-sparse optimization approach with recovery guarantees

Darshan Thaker, Paris Giampouras, René Vidal

Deep neural network-based classifiers have been shown to be vulnerable to imperceptible perturbations to their input, such as $ℓ_{p}$ -bounded norm adversarial attacks. This has mo…

cs.CV2022

Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension

Paris V. Giampouras, Benjamin D. Haeffele, René Vidal

Robust subspace recovery (RSR) is a fundamental problem in robust representation learning. Here we focus on a recently proposed RSR method termed Dual Principal Component Pursuit (…

Reverse Engineering ℓp​ attacks: A block-sparse optimization approach with recovery guarantees

Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension

Reverse Engineering $ℓ_{p}$ attacks: A block-sparse optimization approach with recovery guarantees