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Lucas Beerens

PROFILE

Lucas Beerens

Lucas Beerens developed a scalable Gradient Inversion Attack framework for the aidotse/LeakPro repository, focusing on federated learning security. He implemented core architecture and simulation infrastructure in Python and PyTorch, enabling orchestration of advanced attack methods such as See Through Gradients and multi-epoch label inference. His work introduced modular components for threat modeling and extensible strategies for loss and constraints, supporting future research and experimentation. Lucas also enhanced code quality by refactoring, removing redundancies, and improving documentation, which streamlined onboarding and reproducibility. The depth of his contributions reflects strong skills in AI integration, backend development, and optimization within machine learning systems.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

16Total
Bugs
0
Commits
16
Features
3
Lines of code
9,838
Activity Months1

Work History

February 2026

16 Commits • 3 Features

Feb 1, 2026

February 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.

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

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

aidotse/LeakPro

Feb 2026 Feb 2026
1 Month active

Languages Used

Python

Technical Skills

AI IntegrationData AnalysisData PrivacyData VisualizationDeep LearningFederated Learning