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SCAUL: Power Side-Channel Analysis with Unsupervised Learning

SCAUL: Power Side-Channel Analysis with Unsupervised Learning

16 January 2020
Keyvan Ramezanpour
P. Ampadu
William Diehl
ArXivPDFHTML

Papers citing "SCAUL: Power Side-Channel Analysis with Unsupervised Learning"

4 / 4 papers shown
Title
Unveiling ECC Vulnerabilities: LSTM Networks for Operation Recognition in Side-Channel Attacks
Unveiling ECC Vulnerabilities: LSTM Networks for Operation Recognition in Side-Channel Attacks
Alberto Battistello
Guido Bertoni
Michele Corrias
Lorenzo Nava
Davide Rusconi
Matteo Zoia
Fabio Pierazzi
Andrea Lanzi
AAML
40
1
0
24 Feb 2025
A Review and Comparison of AI Enhanced Side Channel Analysis
A Review and Comparison of AI Enhanced Side Channel Analysis
Max Panoff
H. Yu
Haoqi Shan
Yier Jin
AAML
24
16
0
03 Feb 2024
Towards Intelligent RAN Slicing for B5G: Opportunities and Challenges
Towards Intelligent RAN Slicing for B5G: Opportunities and Challenges
EmadelDin A. Mazied
Lingjia Liu
S. Midkiff
13
5
0
27 Feb 2021
SCARL: Side-Channel Analysis with Reinforcement Learning on the Ascon
  Authenticated Cipher
SCARL: Side-Channel Analysis with Reinforcement Learning on the Ascon Authenticated Cipher
Keyvan Ramezanpour
P. Ampadu
William Diehl
6
22
0
06 Jun 2020
1