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Gabriel Zaid
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2020 – today
- 2024
- [i8]Benoît Coqueret, Mathieu Carbone, Olivier Sentieys, Gabriel Zaid:
A Hard-Label Cryptanalytic Extraction of Non-Fully Connected Deep Neural Networks using Side-Channel Attacks. IACR Cryptol. ePrint Arch. 2024: 1870 (2024) - 2023
- [j4]Gabriel Zaid, Lilian Bossuet, Mathieu Carbone, Amaury Habrard, Alexandre Venelli:
Conditional Variational AutoEncoder based on Stochastic Attacks. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2023(2): 310-357 (2023) - [c2]Benoît Coqueret
, Mathieu Carbone
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence. AISec@CCS 2023: 127-138 - [i7]Benoît Coqueret, Mathieu Carbone, Olivier Sentieys, Gabriel Zaid:
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence. CoRR abs/2311.14005 (2023) - 2022
- [i6]Gabriel Zaid, Lilian Bossuet, Mathieu Carbone, Amaury Habrard, Alexandre Venelli:
Conditional Variational AutoEncoder based on Stochastic Attack. IACR Cryptol. ePrint Arch. 2022: 232 (2022) - 2021
- [b1]Gabriel Zaid:
Bridging Deep Learning and Classical Profiled Side-Channel Attacks. (Rapprochement de l'apprentissage profond et des attaques par canaux auxiliaires). University of Lyon, France, 2021 - [j3]Gabriel Zaid, Lilian Bossuet, François Dassance, Amaury Habrard, Alexandre Venelli:
Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021(1): 25-55 (2021) - [j2]Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli:
Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks - A Case Study on Public-Key Algorithms -. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021(3): 60-96 (2021) - [i5]Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli:
Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks - A Case Study on Public-Key Algorithms -. IACR Cryptol. ePrint Arch. 2021: 909 (2021) - 2020
- [j1]Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli:
Methodology for Efficient CNN Architectures in Profiling Attacks. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2020(1): 1-36 (2020) - [c1]Damien Robissout, Gabriel Zaid, Brice Colombier, Lilian Bossuet, Amaury Habrard:
Online Performance Evaluation of Deep Learning Networks for Profiled Side-Channel Analysis. COSADE 2020: 200-218 - [i4]Damien Robissout, Gabriel Zaid, Brice Colombier, Lilian Bossuet, Amaury Habrard:
Online Performance Evaluation of Deep Learning Networks for Side-Channel Analysis. IACR Cryptol. ePrint Arch. 2020: 39 (2020) - [i3]Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli:
Understanding Methodology for Efficient CNN Architectures in Profiling Attacks. IACR Cryptol. ePrint Arch. 2020: 757 (2020) - [i2]Gabriel Zaid, Lilian Bossuet, François Dassance, Amaury Habrard, Alexandre Venelli:
Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis. IACR Cryptol. ePrint Arch. 2020: 872 (2020)
2010 – 2019
- 2019
- [i1]Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli:
Methodology for Efficient CNN Architectures in Profiling Attacks. IACR Cryptol. ePrint Arch. 2019: 803 (2019)
Coauthor Index
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