aidotse/LeakPro
Feb 2026 – Feb 2026
1 Month active
Languages Used
Python
Technical Skills
AI IntegrationData AnalysisData PrivacyData VisualizationDeep LearningFederated Learning
Lucas Beerens
PROFILE
Lucas Beerens
Developed the core Gradient Inversion Attack (GIA) framework for the aidotse/LeakPro repository, focusing on scalable simulation infrastructure to advance federated learning security research. Designed modular components and orchestration logic in Python and PyTorch, enabling extensible threat models and attack strategies such as See Through Gradients, multi-epoch inference, and batch normalization handling. Enhanced code quality through maintenance, refactoring, and removal of redundant modules, while improving documentation to support onboarding and reproducibility. Emphasized data privacy and optimization techniques throughout the backend development process, delivering three new features that streamline future research and experimentation in machine learning and deep learning attack surfaces.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
3
Lines of code
9,838
Activity Months1
Your Network
14 peopleWork History
February 2026
16 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for aidotse/LeakPro focused on delivering a scalable Gradient Inversion Attack (GIA) framework and expanding the attack surface for federated learning security, alongside code quality improvements and documentation enhancements.
16 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for aidotse/LeakPro focused on delivering a scalable Gradient Inversion Attack (GIA) framework and expanding the attack surface for federated learning security, alongside code quality improvements and documentation enhancements.
February 2026
Activity
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Quality Metrics
Correctness91.2%
Maintainability87.4%
Architecture92.6%
Performance86.2%
AI Usage36.2%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI IntegrationData AnalysisData PrivacyData VisualizationDeep LearningFederated LearningImage ProcessingMachine LearningPyTorchPython DevelopmentPython ProgrammingPython programmingSoftware Developmentalgorithm designbackend development
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