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
Conference Papers Year :

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

Domains

Micro and nanotechnologies/Microelectronics

Vincent Beroulle  : Connect in order to contact the contributor

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

Submitted on : Tuesday, February 9, 2021-6:59:16 PM

Last modification on : Monday, March 13, 2023-10:58:15 AM

Not file

Dates and versions

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

Identifiers

Cite

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⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

UGA LCIS
25 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More