PhD Students
Thesis topic : Deep Learning Vulnerabilities, Attacks and Robustness under Real-World Settings
Thesis director : Pr. Mohamed Ali Mahjoub.
Co-supervisor : Dr. Anouar BEN KHALIFA, Dr. Ihsen ALOUANI
Institution : ENISo, University of Sousse.
Defense date : Thesis to be defended on : ~ December, 2024
Abstract :
Key words :
Publications : This thesis led to the publication of the following papers :
(C38). Bilel Tarchoun, Anouar Ben Khalifa, Mohamed Ali Mahjoub, Nael Abu-Ghazaleh, Ihsen Alouani, Jedi: Entropy-based Localization and Removal of Adversarial Patches, CVPR 2023 : IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, June 2023. DOI: https://doi.org/10.1109/CVPR52729.2023.00398 (Conf.Rank A*)
(C33). Bilel Tarchoun, Anouar Ben Khalifa, Mohamed Ali Mahjoub, Investigating the robustness of multi-view detection to current adversarial patch threats, 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP'2022), pp. 1-6, 2022, Hybrid Moncton (Canada)-Sfax (Tunisia). DOI: https://doi.org/10.1109/ATSIP55956.2022.9805870.
(C28). Bilel Tarchoun, Ihsen Alouani, Anouar Ben Khalifa, Mohamed Ali Mahjoub, Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability, International Conference on Cyberworlds (CW), pp. 299-302, 2021, Caen, France. DOI: https://doi.org/10.1109/CW52790.2021.00057 (Conf.Rank B) .