Detection of Adversarial Examples in Deep Neural Networks with Natural Scene Statistics. - Anouar Kherchouche; Sid Ahmed Fezza; Wassim Hamidouche; Olivier Déforges (IJCNN, 2020)

Natural Scene Statistics for Detecting Adversarial Examples in Deep Neural Networks. - Anouar Kherchouche; Sid Ahmed Fezza; Wassim Hamidouche; Olivier Déforges (MMSP, 2020)

MRS-XNet: An Explainable One-Dimensional Deep Neural Network for Magnetic Spectroscopic Data Classification. - Anouar Kherchouche; Olfa Ben Ahmed; Carole Guillevin; Benoit Tremblais; Adrien Julian; Rémy Guillevin (ICIP, 2022)

MISS-Net: Multi-view Contrastive Transformer Network for MCI Stages Prediction Using Brain 18F-FDG PET Imaging. - Anouar Kherchouche; Olfa Ben Ahmed; Carole Guillevin; Benoit Tremblais; Christine Fernandez-Maloigne; Rémy Guillevin (PRIME@MICCAI, 2022)

Attention-guided neural network for early dementia detection using MRS data. - Anouar Kherchouche; Olfa Ben Ahmed; Carole Guillevin; Benoit Tremblais; Adrien Julian; Christine Fernandez-Maloigne; Rémy Guillevin (Comput. Medical Imaging Graph., 2022)

Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising. - Anouar Kherchouche; Sid Ahmed Fezza; Wassim Hamidouche (Neural Comput. Appl., 2022)