Deep CNN-based Pedestrian Detection for Intelligent Infrastructure. - Bilel Tarchoun; Imen Jegham; Anouar Ben Khalifa; Ihsen Alouani; Mohamed Ali Mahjoub (ATSIP, 2020)

Hand-Crafted Features vs Deep Learning for Pedestrian Detection in Moving Camera. - Bilel Tarchoun; Anouar Ben Khalifa; Selma Dhifallah; Imen Jegham; Mohamed Ali Mahjoub (Traitement du Signal, 2020)

Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability. - Bilel Tarchoun; Ihsen Alouani; Anouar Ben Khalifa; Mohamed Ali Mahjoub (CW, 2021)

Investigating the robustness of multi-view detection to current adversarial patch threats. - Bilel Tarchoun; Anouar Ben Khalifa; Mohamed Ali Mahjoub (ATSIP, 2022)

Jedi: Entropy-Based Localization and Removal of Adversarial Patches. - Bilel Tarchoun; Anouar Ben Khalifa; Mohamed Ali Mahjoub; Nael B. Abu-Ghazaleh; Ihsen Alouani (CVPR, 2023)

Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial Patches. - Quazi Mishkatul Alam; Bilel Tarchoun; Ihsen Alouani; Nael B. Abu-Ghazaleh (CoRR, 2023)

Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems. - Bilel Tarchoun; Quazi Mishkatul Alam; Nael B. Abu-Ghazaleh; Ihsen Alouani (CoRR, 2023)

An information-theoretic perspective of physical adversarial patches. - Bilel Tarchoun; Anouar Ben Khalifa; Mohamed Ali Mahjoub; Nael B. Abu-Ghazaleh; Ihsen Alouani (Neural Networks, 2024)

Adversarial Attention Deficit: Fooling Deformable Vision Transformers with Collaborative Adversarial Patches. - Quazi Mishkatul Alam; Bilel Tarchoun; Ihsen Alouani; Nael B. Abu-Ghazaleh (WACV, 2025)