LeakPro: Privacy Risk Assessment for AI Systems
LeakPro is an open-source tool developed by RISE for data protection risk assessment, testing models against realistic privacy attacks to gauge training data traceability and reconstruction feasibility.
Regulatory compliance under the AI Act and GDPR isn’t about good intentions; organizations must demonstrate that their AI systems do not expose sensitive data. Without a clear way to manage data disclosure risks, many projects fail even before investment.
What is LeakPro?
LeakPro is an open-source tool developed by RISE and collaborators for data protection risk assessment. It tests models against realistic privacy attacks to gauge training data traceability and the feasibility of reconstructing source data.
Capabilities
These evaluations also cover synthetic data and federated learning, converting results into standardized risk scores for compliance reporting and technical mitigation.
From Promise to Evidence
By aligning privacy engineering with regulation, LeakPro transforms privacy from a vague promise into actionable evidence. It fosters transparent collaboration and shared evaluation frameworks, essential for building trust in AI.
Impact
As privacy-enhancing technologies become legal requirements, LeakPro offers the foundation for responsible, compliant, and investment-ready AI.
