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EM-X-DL: Efficient Cross-Device Deep Learning Side-Channel Attack with
  Noisy EM Signatures

EM-X-DL: Efficient Cross-Device Deep Learning Side-Channel Attack with Noisy EM Signatures

12 November 2020
Josef Danial
Debayan Das
Anupam Golder
Santosh K. Ghosh
A. Raychowdhury
Shreyas Sen
    AAML
ArXiv (abs)PDFHTML

Papers citing "EM-X-DL: Efficient Cross-Device Deep Learning Side-Channel Attack with Noisy EM Signatures"

2 / 2 papers shown
Title
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAMLSILM
135
3
0
20 Nov 2023
Keep It Unbiased: A Comparison Between Estimation of Distribution
  Algorithms and Deep Learning for Human Interaction-Free Side-Channel Analysis
Keep It Unbiased: A Comparison Between Estimation of Distribution Algorithms and Deep Learning for Human Interaction-Free Side-Channel Analysis
Unai Rioja
L. Batina
I. Armendariz
J. L. Flores
AAML
18
3
0
26 Nov 2021
1