3 papers
cs.SE2026
Toward Scalable Automated Repository-Level Datasets for Software Vulnerability Detection
Amine Lbath
Software vulnerabilities continue to grow in volume and remain difficult to detect in practice. Although learning-based vulnerability detection has progressed, existing benchmarks…
cs.CR2025
AVIATOR: Towards AI-Agentic Vulnerability Injection Workflow for High-Fidelity, Large-Scale Code Security Dataset
Amine Lbath, Massih-Reza Amini, Aurelien Delaitre +1
The increasing complexity of software systems and the sophistication of cyber-attacks have underscored the need for reliable automated software vulnerability detection. Data-driven…
cs.LG2025
Energy Efficiency in AI for 5G and Beyond: A DeepRx Case Study
Amine Lbath, Ibtissam Labriji
This study addresses the challenge of balancing energy efficiency with performance in AI/ML models, focusing on DeepRX, a deep learning receiver based on a fully convolutional ResN…