7 papers
CyberForge: Verified Vulnerability Injection at Repository Level for Cybersecurity Agent Training
Amine Lbath, Manan Suri, Aurelien Delaitre +4
Despite recent advances, frontier large language model (LLM) agents remain limited in discovering and patching complex vulnerabilities in real-world software. Generally available a…
JEPAMatch: Geometric Representation Shaping for Semi-Supervised Learning
Ali Aghababaei-Harandi, Aude Sportisse, Massih-Reza Amini
Semi-supervised learning has emerged as a powerful paradigm for leveraging large amounts of unlabeled data to improve the performance of machine learning models when labeled data a…
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…
Stylized Meta-Album: Group-bias injection with style transfer to study robustness against distribution shifts
Romain Mussard, Aurélien Gauffre, Ihsan Ullah +4
We introduce Stylized Meta-Album (SMA), a new image classification meta-dataset comprising 24 datasets (12 content datasets, and 12 stylized datasets), designed to advance studies…
Unified Framework for Pre-trained Neural Network Compression via Decomposition and Optimized Rank Selection
Ali Aghababaei-Harandi, Massih-Reza Amini
Despite their high accuracy, complex neural networks demand significant computational resources, posing challenges for deployment on resource constrained devices such as mobile pho…
Self-Training: A Survey
Massih-Reza Amini, Vasilii Feofanov, Loic Pauletto +3
Semi-supervised algorithms aim to learn prediction functions from a small set of labeled observations and a large set of unlabeled observations. Because this framework is relevant…