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Rémi Bernhard
Rémi Bernhard
Computer vision research engineer
Email verificata su quantificare.com
Titolo
Citata da
Citata da
Anno
Impact of low-bitwidth quantization on the adversarial robustness for embedded neural networks
R Bernhard, PA Moellic, JM Dutertre
2019 International Conference on Cyberworlds (CW), 308-315, 2019
182019
Impact of spatial frequency based constraints on adversarial robustness
R Bernhard, PA Moëllic, M Mermillod, Y Bourrier, R Cohendet, M Solinas, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
162021
An overview of laser injection against embedded neural network models
M Dumont, PA Moëllic, R Viera, JM Dutertre, R Bernhard
2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 616-621, 2021
82021
Luring of transferable adversarial perturbations in the black-box paradigm
R Bernhard, PA Moellic, JM Dutertre
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
6*2021
A review of confidentiality threats against embedded neural network models
R Joud, PA Moëllic, R Bernhard, JB Rigaud
2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 610-615, 2021
52021
Impact of reverberation through deep neural networks on adversarial perturbations
R Cohendet, M Solinas, R Bernhard, M Reyboz, PA Moellic, Y Bourrier, ...
2021 20th IEEE International Conference on Machine Learning and Applications …, 2021
2021
Intégrité des réseaux de neurones: défenses contre les exemples adverses et leur transférabilité
R Bernhard
Université de Lyon, 2021
2021
Actes de la conférence CAID 2020
F de Vieilleville, S May, A Lagrange, A Dupuis, R Ruiloba, FN Mboula, ...
CAID 2020-Second Conference on Artificial Intelligence for Defence, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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