RISE Research Radar

Computer Science Open House 2022-2025

2024

LEAKPRO: Leakage Profiling and Risk Oversight for Machine Learning Models

Rickard Brännvall, Henrik Forsgren

Summary

Open-source platform to assess information leakage of trained ML models, federated learning, and synthetic data. Models privacy attacks including membership inference, data reconstruction, property inference, and gradient inversion. Built for developers and legal experts for AI Act compliance.

Themes

privacymachine-learning

Keywords

privacy, ML security, membership inference, federated learning, synthetic data, AI Act, risk assessment

Poster

LEAKPRO: Leakage Profiling and Risk Oversight for Machine Learning Models poster

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