graph neural networks 1link prediction 1sbom analysis 1software supply chain security 1vulnerability attack chains 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.SE2026
Towards Predicting Multi-Vulnerability Attack Chains in Software Supply Chains from Software Bill of Materials Graphs
Laura Baird, Armin Moin
The paper introduces a graph‑learning method that uses Software Bill of Materials (SBOM) graphs to predict cascades of multiple vulnerabilities in software supply chains, combining…
cs.SE2026
Cascaded Vulnerability Attacks in Software Supply Chains
Laura Baird, Armin Moin
Most of the current software security analysis tools assess vulnerabilities in isolation. However, sophisticated software supply chain security threats often stem from cascaded vul…
cs.SE2025
OrQstrator: An AI-Powered Framework for Advanced Quantum Circuit Optimization
Laura Baird, Armin Moin
We propose a novel approach, OrQstrator, which is a modular framework for conducting quantum circuit optimization in the Noisy Intermediate-Scale Quantum (NISQ) era. Our framework…