Rémi Bernhard

11 papers B 2C 2Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2021 — conf
A Review of Confidentiality Threats Against Embedded Neural Network Models.
WF-IoT
Raphaël Joud, Pierre-Alain Moëllic, Rémi Bernhard, Jean-Baptiste Rigaud
2021 J jnl
A Review of Confidentiality Threats Against Embedded Neural Network Models.
CoRR
Raphaël Joud, Pierre-Alain Moëllic, Rémi Bernhard, Jean-Baptiste Rigaud
2021 — conf
An Overview of Laser Injection against Embedded Neural Network Models.
WF-IoT
Mathieu Dumont, Pierre-Alain Moëllic, Raphael Andreoni Camponogara Viera, Jean-Max Dutertre, Rémi Bernhard
2021 J jnl
An Overview of Laser Injection against Embedded Neural Network Models.
CoRR
Mathieu Dumont, Pierre-Alain Moëllic, Raphael Andreoni Camponogara Viera, Jean-Max Dutertre, Rémi Bernhard
2021 B conf
Impact of Spatial Frequency Based Constraints on Adversarial Robustness.
IJCNN
Rémi Bernhard, Pierre-Alain Moëllic, Martial Mermillod, Yannick Bourrier, Romain Cohendet, Miguel Solinas, Marina Reyboz
2021 J jnl
Impact of Spatial Frequency Based Constraints on Adversarial Robustness.
CoRR
Rémi Bernhard, Pierre-Alain Moëllic, Martial Mermillod, Yannick Bourrier, Romain Cohendet, Miguel Solinas, Marina Reyboz
2021 C conf
Impact of reverberation through deep neural networks on adversarial perturbations.
ICMLA
Romain Cohendet, Miguel Solinas, Rémi Bernhard, Marina Reyboz, Pierre-Alain Moëllic, Yannick Bourrier, Martial Mermillod
2021 B conf
Luring Transferable Adversarial Perturbations for Deep Neural Networks.
IJCNN
Rémi Bernhard, Pierre-Alain Moëllic, Jean-Max Dutertre
2020 J jnl
Luring of Adversarial Perturbations.
CoRR
Rémi Bernhard, Pierre-Alain Moëllic, Jean-Max Dutertre
2019 C conf
Impact of Low-Bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks.
CW
Rémi Bernhard, Pierre-Alain Moëllic, Jean-Max Dutertre
2019 J jnl
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks.
CoRR
Rémi Bernhard, Pierre-Alain Moëllic, Jean-Max Dutertre