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

Autor: Erwan Nogues, Florent Montreuil, Maxime Pelcat, Cyril Marlin, Florian Lemarchand

Publikováno v: ICASSP 2020-IEEE International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2020-IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. ⟨10.1109/ICASSP40776.2020.9053913⟩
ICASSP

This paper proposes an upgraded Electro Magnetic (EM) sidechannel attack that automatically reconstructs the intercepted data. A novel system is introduced, running in parallel with leakage signal interception and catching compromising data on the fl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd6e52f3e21b7f5120fa19ba427a7464

A New Hierarchical Handwritten Document Layout Extraction Based on Conditional Random Field Modeling

Autor: Florent Montreuil, Stéphane Nicolas, Emmanuèle Grosicki, Laurent Heutte

Publikováno v: ICFHR
proceedings of the 12th International Conference on the Frontiers of Handwriting Recognition
12th International Conference on the Frontiers of Handwriting Recognition, (ICFHR'2010)
12th International Conference on the Frontiers of Handwriting Recognition, (ICFHR'2010), Nov 2010, Kolkata, India. pp. 31-36

In this study we describe a new approach to extract layout of unconstrained handwritten letters such as those sent by individuals to companies. The proposed model uses a hierarchical combination of Conditional Random Fields (CRFs) which gives access

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e8515b2c1719e5bb71fc285d7b65937
https://doi.org/10.1109/icfhr.2010.13