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 Access content directly
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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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hal-03136631 , version 1 (09-02-2021)

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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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