On the Performance of Non-Profiled Differential Deep Learning Attacks against an AES Encryption Algorithm Protected using a Correlated Noise Generation based Hiding Countermeasure - Université Grenoble Alpes
Communication Dans Un Congrès Année : 2020

On the Performance of Non-Profiled Differential Deep Learning Attacks against an AES Encryption Algorithm Protected using a Correlated Noise Generation based Hiding Countermeasure

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Micro et nanotechnologies/Microélectronique

Vincent Beroulle  : Connectez-vous pour contacter le contributeur

https://hal.univ-grenoble-alpes.fr/hal-03136631

Soumis le : mardi 9 février 2021-18:59:16

Dernière modification le : mercredi 18 décembre 2024-09:47:34

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Dates et versions

hal-03136631 , version 1 (09-02-2021)

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Citer

Amir Alipour, Athanasios Papadimitriou, Vincent Beroulle, Ehsan Aerabi, David Hely. On the Performance of Non-Profiled Differential Deep Learning Attacks against an AES Encryption Algorithm Protected using a Correlated Noise Generation based Hiding Countermeasure. 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), Mar 2020, Grenoble, France. pp.614-617, ⟨10.23919/DATE48585.2020.9116387⟩. ⟨hal-03136631⟩

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