activity
20192023
most citedElectro-Magnetic Side-Channel Attack Through Learned Denoising and Classification

15 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

physics.bio-ph2023

Resonant multi-dielectric coverslip for enhanced total internal reflection fluorescence microscopy

Yousra Toumi, Anita Mouttou, Fabien Lemarchand +7

Multi-dielectric coated coverslip can be designed to reach large optical field enhancements when working under proper illumination conditions and in total internal reflection. In a…

cs.CV2020★ 3 cited

NTIRE 2020 Challenge on Image Demoireing: Methods and Results

Shanxin Yuan, Radu Timofte, Ales Leonardis +43

This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demo…

eess.IV2020

NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis

Florian Lemarchand, Erwan Nogues, Maxime Pelcat

Fully supervised deep-learning based denoisers are currently the most performing image denoising solutions. However, they require clean reference images. When the target noise is c…

eess.IV2019★ 7 cited

OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers

Florian Lemarchand, Eduardo Fernandes Montesuma, Maxime Pelcat +1

Image denoising has recently taken a leap forward due to machine learning. However, image denoisers, both expert-based and learning-based, are mostly tested on well-behaved generat…

cs.CR2019★ 15 cited

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

Florian Lemarchand, Cyril Marlin, Florent Montreuil +2

This paper proposes an upgraded electro-magnetic side-channel attack that automatically reconstructs the intercepted data. A novel system is introduced, running in parallel with le…