DL-SCA: An deep learning based approach for intra-class CutMix data augmentation-Reference-Cited by-同舟云学术

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DL-SCA: An deep learning based approach for intra-class CutMix data augmentation

Published:2024-04 Issue: Volume:63 Page:102288
ISSN:1874-4907
Container-title:Physical Communication
language:en
Short-container-title:Physical Communication

Author:

Liu Weiguang

Publisher

Elsevier BV

Reference20 articles.

1. Practical cases of side-channel analysis;An;J. Cryptolog. Res.,2018

2. Breaking cryptographicimplementations using deep learning techniques;Maghrebi,2016

3. Deeplearning for side-channel analysis and introduction to ascad database[J];Benadjila;J. Cryptogr. Eng.,2020

4. Methodology forefficient cnn architectures in profiling attacks;Zaid;IACR Transact. Cryptograph. Hardw. Embedd. Syst.,2019

5. Revisiting amethodology for efficient cnn architectures in profiling attacks[J];Wouters;IACR Transact. Cryptograph. Hardw. Embedd. Syst.,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Retraction Notice to “DL-SCA: An deep learning based approach for Intra-class CutMix Data Augmentation” [Physical Communication 63 (2024) 102288];Physical Communication;2024-10

2. A Novel Side-Channel Archive Framework Using Deep Learning-Based Leakage Compression;IEEE Access;2024

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