
Contributed to the LeakPro repository by building a modular framework for model inversion attacks, establishing abstract interfaces and a factory pattern to support extensible attack strategies. Focused on backend development and software architecture, the work emphasized maintainability and rapid prototyping, using Python and PyTorch to implement core attack logic and evaluation tooling. Enhanced experiment reproducibility through robust configuration management and code quality improvements, including extensive refactoring, linting, and CI/CD integration. Delivered features such as the ImageMetrics evaluation framework and streamlined data handling, while resolving bugs related to input processing and model training, resulting in a reliable foundation for adversarial attack research.
February 2025—aidotse/LeakPro: Focused on end-to-end experiment readiness, reliability, and maintainability. Delivered core MinV scaffolding, strengthened PLGMI workflows, advanced evaluation tooling, and completed significant refactors and quality improvements to support rapid iteration and reproducibility.
February 2025—aidotse/LeakPro: Focused on end-to-end experiment readiness, reliability, and maintainability. Delivered core MinV scaffolding, strengthened PLGMI workflows, advanced evaluation tooling, and completed significant refactors and quality improvements to support rapid iteration and reproducibility.
January 2025 focuses on laying the foundation for model inversion attack testing in the LeakPro project. A new, modular framework establishes the essential interfaces and extension points needed to prototype and manage model inversion attack strategies, setting the stage for security benchmarking and risk assessment.
January 2025 focuses on laying the foundation for model inversion attack testing in the LeakPro project. A new, modular framework establishes the essential interfaces and extension points needed to prototype and manage model inversion attack strategies, setting the stage for security benchmarking and risk assessment.

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