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ELECTRO-MAGNETIC SIDE-CHANNEL ATTACK THROUGH LEARNED DENOISING AND CLASSIFICATION

Florian Lemarchand 1 Cyril Marlin 2 Florent Montreuil 2 Erwan Nogues 1, 2 Maxime Pelcat 1
1 IETR - Institut d'Électronique et des Technologies du numéRique
2 DGA.MI - DGA Maîtrise de l'information
Keywords : Denoising Electro-Magnetic Side-Channel
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Conference papers
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https://hal.archives-ouvertes.fr/hal-02477654
Contributor : Florian Lemarchand <>
Submitted on : Thursday, February 13, 2020 - 3:15:34 PM
Last modification on : Monday, October 5, 2020 - 9:50:30 AM
Long-term archiving on: : Thursday, May 14, 2020 - 3:20:40 PM

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IETR | UNIV-RENNES1 | UR1-UFR-ISTIC | CENTRALESUPELEC | IETR-VAADER | UNIV-NANTES | UNIV-RENNES | INSA-GROUPE | CNRS | SUP_IETR | INSA-RENNES

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Florian Lemarchand, Cyril Marlin, Florent Montreuil, Erwan Nogues, Maxime Pelcat. ELECTRO-MAGNETIC SIDE-CHANNEL ATTACK THROUGH LEARNED DENOISING AND CLASSIFICATION. ICASSP 2020-IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. ⟨10.1109/ICASSP40776.2020.9053913⟩. ⟨hal-02477654⟩

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