This repository presents more examples for the experimental part of Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification, F. Lemarchand, F. Montreuil, C. Marlin, E. Nogues and M. Pelcat.
99 representative samples are shown for Mask-RCNN, auto-encoder and BM3D. Samples are displayed using the following format: left sample is the reference one (clean), middle is the noisy, right is the denoised.
Denoising using Mask-RCNN
Denoising using auto-encoder
Denoising using BM3D
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The data is free to use until you propagate the licence and you cite our paper using the following format:
BIBTEX OF THE PAPER TO INCLUDE.
Florian Lemarchand : A@B.fr, A=florian.lemarchand and B = insa-rennes