SATML-B
Security, reliability and transparency of Machine Learning techniques and big data analysis
Goal
To develop an end-to-end cybersecurity solution for Machine Learning systems, ensuring AI models are resilient, secure, and privacy-compliant.
Use cases
1
Adversarial attack mitigation
2
AI shielding from malicious inputs and model theft/replication
3
Customizable data anonymization and privacy preservation
Research programme
Cyber 4.0 - Cybersecurity Competence Center
Funded by the EU – Next Generation EU
Timeframe and status
2024 - 2025 (completed)
Topic
Cybersecurity
Project website
Datrix Roles and Contributions
Providing the core AI technology, leading R&D, implementing new features, and driving the commercialization/market expansion strategy.
