Progetto CoEvolution - A Comprehensive trustworthy framework for connected Machine Learning and secure interconnected AI solutions
The AI landscape requires a comprehensive framework to address threats and vulnerabilities but lacks a system for managing weaknesses in the AI supply chain. The EU-funded CoEvolution project is developing an integrated security, trust, and robustness (STR) assessment solution that combines AI models with context awareness and an AI model bill of materials (AIMBOM). The project aims to establish a universal STR risk assessment and security assurance hub aligned with EU regulatory frameworks. This initiative introduces new AI model descriptions and security monitoring to ensure compliance with EU directives on trust, fairness, data governance, and GDPR guidelines. Open-source trusted datasets and AI models developed by CoEvolution will enhance the hub’s ability to address evolving AI cybersecurity threats.
Project portal: https://coevolution-project.eu
Budget: 5.999.688,75 €
Funding: European Commission-EU – HORIZON Research and Innovation Actions – Programme(s): HORIZON.2.3 - Civil Security for Society; HORIZON.2.3.3 - Cybersecurity. Topic: HORIZON-CL3-2023-CS-01-03 - Security of robust AI systems. Grant agreement ID: 101168560.
Duration: November 2024 – October 2027
Research Area: AI Security
Principal Investigator: Battista Biggio
Department of Electrical and Electronic Engineering