Crypto-TII/claasp
Nov 2024 – Mar 2025
3 Months active
Languages Used
Python
Technical Skills
Algorithm OptimizationBug FixingConstraint ProgrammingCryptographyGurobi SolverMILP
Mohamed Rachidi
PROFILE
Mohamed Rachidi
Mohamed Rachidi contributed to the Crypto-TII/claasp repository by enhancing cryptanalysis tooling through targeted feature development and code refinement. He improved the division trail search module using Python and Gurobi, optimizing MILP modeling to accelerate and stabilize 8-round Aradi distinguisher searches while preventing monomial duplication. Mohamed introduced observability enhancements for MILP timing with a verbosity flag, supporting maintainability and debugging. He expanded analysis capabilities by enabling targeted plaintext bit analysis and made deployment more flexible by configuring compute server addresses via environment variables. His work included robust unit testing, documentation updates, and fixes for doctest rendering, reflecting thorough engineering depth.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
4
Lines of code
269
Activity Months3
Your Network
34 people
Work History
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025 performance summary focusing on Crypto-TII/claasp contributions. Core objective was to deliver targeted analysis capabilities, improve deployment flexibility, and stabilize developer experience through reliable doctest rendering. Key outcomes include feature delivery for targeted plaintext bit analysis, flexible compute server configuration, and a doctest rendering fix that prevents display errors in modular components.
3 Commits • 2 Features
Mar 1, 2025March 2025 performance summary focusing on Crypto-TII/claasp contributions. Core objective was to deliver targeted analysis capabilities, improve deployment flexibility, and stabilize developer experience through reliable doctest rendering. Key outcomes include feature delivery for targeted plaintext bit analysis, flexible compute server configuration, and a doctest rendering fix that prevents display errors in modular components.
March 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for Crypto-TII/claasp: Delivered an observability enhancement for MILP timing in Division Trail Search by introducing a verbosity flag to control debugging prints during MILP building and solving. This improves maintainability, debuggability, and performance monitoring capabilities for problem instances relying on MILP timing data.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for Crypto-TII/claasp: Delivered an observability enhancement for MILP timing in Division Trail Search by introducing a verbosity flag to control debugging prints during MILP building and solving. This improves maintainability, debuggability, and performance monitoring capabilities for problem instances relying on MILP timing data.
November 2024
6 Commits • 1 Features
Nov 1, 2024November 2024: Crypto-TII/claasp delivered major enhancements to the division trail search module, delivering faster and more reliable 8-round Aradi distinguisher search via MILP improvements, preventing monomial duplicates, and refining ANF solution workflows. API and component updates include get_solutions return values, modeling of linear_layer, and integration of mix_column components, with added unit tests. Overall impact: improved search performance, reliability, and test coverage, enabling faster cryptanalysis iterations and stronger product stability.
6 Commits • 1 Features
Nov 1, 2024November 2024: Crypto-TII/claasp delivered major enhancements to the division trail search module, delivering faster and more reliable 8-round Aradi distinguisher search via MILP improvements, preventing monomial duplicates, and refining ANF solution workflows. API and component updates include get_solutions return values, modeling of linear_layer, and integration of mix_column components, with added unit tests. Overall impact: improved search performance, reliability, and test coverage, enabling faster cryptanalysis iterations and stronger product stability.
November 2024
Activity
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Quality Metrics
Correctness84.0%
Maintainability86.0%
Architecture80.0%
Performance72.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Algorithm OptimizationBug FixingCode RefactoringConstraint ProgrammingCryptographyDebuggingDocumentationEnvironment VariablesGurobiGurobi SolverMILPMILP ModelingOptimizationPythonSoftware Development
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