Search Results for author: Florian Lemarchand

Found 4 papers, 2 papers with code

NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis

no code implementations18 Feb 2020 Florian Lemarchand, Erwan Nogues, Maxime Pelcat

When the target noise is complex, e. g. composed of an unknown mixture of primary noises with unknown intensity, fully supervised solutions are limited by the difficulty to build a suited training set for the problem.

Image Denoising

Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification

2 code implementations16 Oct 2019 Florian Lemarchand, Cyril Marlin, Florent Montreuil, Erwan Nogues, Maxime Pelcat

This paper proposes an upgraded electro-magnetic side-channel attack that automatically reconstructs the intercepted data.

Denoising General Classification

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