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InfoNEAT: Information Theory-based NeuroEvolution of Augmenting
  Topologies for Side-channel Analysis

InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis

30 April 2021
R. Acharya
F. Ganji
Domenic Forte
    AAML
ArXivPDFHTML

Papers citing "InfoNEAT: Information Theory-based NeuroEvolution of Augmenting Topologies for Side-channel Analysis"

4 / 4 papers shown
Title
Quantization-aware Neural Architectural Search for Intrusion Detection
Quantization-aware Neural Architectural Search for Intrusion Detection
R. Acharya
Laurens Le Jeune
N. Mentens
F. Ganji
Domenic Forte
19
0
0
07 Nov 2023
NASCTY: Neuroevolution to Attack Side-channel Leakages Yielding
  Convolutional Neural Networks
NASCTY: Neuroevolution to Attack Side-channel Leakages Yielding Convolutional Neural Networks
Fiske Schijlen
Lichao Wu
L. Mariot
AAML
21
3
0
25 Jan 2023
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm
Gongjin Lan
Jakub M. Tomczak
D. Roijers
A. E. Eiben
84
80
0
04 May 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,892
0
15 Sep 2016
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