Gabriel Zaid

According to our database, Gabriel Zaid authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Hard-Label Cryptanalytic Extraction of Non-Fully Connected Deep Neural Networks using Side-Channel Attacks.

Benoît Coqueret, Mathieu Carbone, Olivier Sentieys, Gabriel Zaid

IACR Cryptol. ePrint Arch., 2024

2023

Conditional Variational AutoEncoder based on Stochastic Attacks.

Gabriel Zaid, Lilian Bossuet, Mathieu Carbone, Amaury Habrard, Alexandre Venelli

IACR Trans. Cryptogr. Hardw. Embed. Syst., 2023

When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence.

Benoît Coqueret, Mathieu Carbone, Olivier Sentieys, Gabriel Zaid

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

Conditional Variational AutoEncoder based on Stochastic Attack.

Gabriel Zaid, Lilian Bossuet, Mathieu Carbone, Amaury Habrard, Alexandre Venelli

IACR Cryptol. ePrint Arch., 2022

2021

Bridging Deep Learning and Classical Profiled Side-Channel Attacks. (Rapprochement de l'apprentissage profond et des attaques par canaux auxiliaires).

Gabriel Zaid

PhD thesis, 2021

Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks - A Case Study on Public-Key Algorithms -.

Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli

IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021

Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis.

Gabriel Zaid, Lilian Bossuet, François Dassance, Amaury Habrard, Alexandre Venelli

IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021

2020

Methodology for Efficient CNN Architectures in Profiling Attacks.

Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli

IACR Trans. Cryptogr. Hardw. Embed. Syst., 2020

Understanding Methodology for Efficient CNN Architectures in Profiling Attacks.

Gabriel Zaid, Lilian Bossuet, Amaury Habrard, Alexandre Venelli

IACR Cryptol. ePrint Arch., 2020

Online Performance Evaluation of Deep Learning Networks for Side-Channel Analysis.

Damien Robissout, Gabriel Zaid, Brice Colombier, Lilian Bossuet, Amaury Habrard

IACR Cryptol. ePrint Arch., 2020

Online Performance Evaluation of Deep Learning Networks for Profiled Side-Channel Analysis.

Damien Robissout, Gabriel Zaid, Brice Colombier, Lilian Bossuet, Amaury Habrard

Proceedings of the Constructive Side-Channel Analysis and Secure Design, 2020