Performance Prediction for Convolutional Neural Networks in Edge Devices. - Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar; Abdessamad Ait El Cadi (CoRR, 2020)

Performance prediction for convolutional neural networks on edge GPUs. - Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar; Abdessamad Ait El Cadi (CF, 2021)

Co-Optimization of DNN and Hardware Configurations on Edge GPUs. - Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar; El-Ghazali Talbi; Abdessamad Ait El Cadi (DSD, 2022)

Evolutionary-Based Co-optimization of DNN and Hardware Configurations on Edge GPU. - Halima Bouzidi; Hamza Ouarnoughi; El-Ghazali Talbi; Abdessamad Ait El Cadi; Smaïl Niar (OLA, 2022)

Performance Modeling of Computer Vision-based CNN on Edge GPUs. - Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar; Abdessamad Ait El Cadi (ACM Trans. Embed. Comput. Syst., 2022)

Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices. - Mohamed Imed Eddine Ghebriout; Halima Bouzidi; Smaïl Niar; Hamza Ouarnoughi (ACML, 2023)

Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs. - Halima Bouzidi; Mohanad Odema; Hamza Ouarnoughi; Smaïl Niar; Mohammad Abdullah Al Faruque (DAC, 2023)

HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling. - Halima Bouzidi; Mohanad Odema; Hamza Ouarnoughi; Mohammad Abdullah Al Faruque; Smaïl Niar (DATE, 2023)

Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing. - Hadjer Benmeziane; Halima Bouzidi; Hamza Ouarnoughi; Ozcan Ozturk 001; Smaïl Niar (CoRR, 2023)

MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment. - Mohanad Odema; Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar; Mohammad Abdullah Al Faruque (ACM Trans. Embed. Comput. Syst., 2023)

NeuraSearchLib: A Modular and Extensible Library for Neural Architecture Search with Configurable Search Spaces. - Kaouthar Essaheli; Selsabil Roubi; Halima Bouzidi; Hamza Ouarnoughi; Smaïl Niar (BDCAT, 2024)

SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search. - Halima Bouzidi; Smaïl Niar; Hamza Ouarnoughi; El-Ghazali Talbi (CoRR, 2024)

Model for Peanuts: Hijacking ML Models without Training Access is Possible. - Mahmoud Ghorbel; Halima Bouzidi; Ioan Marius Bilasco; Ihsen Alouani (CoRR, 2024)

Efficient Deployment of Deep Neural Networks on Hardware Devices for Edge AI. (Déploiement efficace des réseaux de neurones profonds sur les dispositifs matériels pour l'IA en Edge). - Halima Bouzidi (2024)

SnatchML: Hijacking ML Models Without Training Access. - Mahmoud Ghorbel; Halima Bouzidi; Ioan Marius Bilasco; Ihsen Alouani (SaTML, 2025)

LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models. - Mohamad Fakih; Rahul Dharmaji; Halima Bouzidi; Gustavo Quiros Araya; Oluwatosin Ogundare; Mohammad Abdullah Al Faruque (CoRR, 2025)