Luring Transferable Adversarial Perturbations for Deep Neural Networks
Rémi Bernhard, Pierre-Alain Moellic, Jean-Max Dutertre
IEEE Internation Joint Conference on Neural Networks (IJCNN) (2021) arxiv,
pdf (long version)
Impact of Spatial Frequency Based Constraints on Adversarial Robustness
Rémi Bernhard, Pierre-Alain Moellic, Martial Mermillod, Yannick Bourrier, Romain Cohendet, Miguel Solinas, Marina Reyboz
IEEE Internation Joint Conference on Neural Networks (IJCNN) (2021) arxiv,
pdf (long version)
A Review of Confidentiality Threats Against Embedded Neural Network Models
Raphaël Joud, Pierre-Alain Moellic, Rémi Bernhard 7th IEEE World Forum on Internet of Things (2021) arxiv,
pdf (long version)
An Overview of Laser Injection against Embedded Neural Network Models
Mathieu Dumont, Pierre-Alain Moellic, Raphael Viera, Jean-Max Dutertre, Rémi Bernhard 7th IEEE World Forum on Internet of Things (2021) arxiv,
pdf (long version)
Impact of reverberation on deep neural networks through deep neural networks on adversarial perturbations
Romain Cohendet, Miguel Solinas, Rémi Bernhard, Marina Reyboz, Pierre-Alain Moellic, Yannick Bourrier, Martial Mermillod
IEEE International Conference on Machine Learning and Applications (ICMLA) (2021) HAL ,
pdf (long version)
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
Rémi Bernhard, Pierre-Alain Moellic, Jean-Max Dutertre
IEEE 2019 International Conference on Cyberworlds (CW), 308-315 arxiv,
pdf (long version)
Best Paper Award
