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
Contributed to the Crypto-TII/claasp repository by enhancing cryptographic analysis tooling, focusing on division trail search and MILP-based distinguisher workflows. Improved search performance and reliability through advanced MILP modeling, monomial handling, and solver parameter tuning, while integrating new components such as linear_layer and mix_column. Introduced observability features with a verbosity flag for MILP timing, supporting maintainability and debugging. Delivered targeted plaintext bit analysis and enabled flexible compute server configuration via environment variables. Addressed doctest rendering issues to stabilize developer experience. Work was implemented primarily in Python, leveraging Gurobi and constraint programming, with an emphasis on code quality and test coverage.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
4
Lines of code
269
Activity Months3
Your Network
36 peopleShared Repositories
15
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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