NVIDIA/garak
Mar 2026 – Apr 2026
2 Months active
Languages Used
PythonYAML
Technical Skills
LLM analysisPythonPython developmentYAMLbackend developmentfull stack development
eliyacohen-hub
PROFILE
Eliyacohen-hub
Worked on NVIDIA/garak to enhance agent security testing and observability, building new features that strengthened security assessment workflows. Developed an agent_breaker probe and refactored the attack framework to support iterative, per-tool evaluation, improving the fidelity of LLM security testing. Improved the logging system by dynamically including class names, which increased maintainability and clarity. In a subsequent phase, unified detector and probe logic to support multi-generation outputs, laying the groundwork for scalable, future-proof configurations. The work relied on Python and YAML, with a focus on backend and full stack development, security testing, and unit testing to ensure robust, maintainable code.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
104,946
Activity Months2
Your Network
66 peopleWork History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 focused on delivering a scalable, multi-generation capable detector/probe configuration in NVIDIA/garak, with a refactor to unify detector and probe logic and improved handling for multiple generations. The work enhances reliability, accelerates onboarding of new outputs, and provides a solid foundation for future multi-gen deployments.
1 Commits • 1 Features
Apr 1, 2026April 2026 focused on delivering a scalable, multi-generation capable detector/probe configuration in NVIDIA/garak, with a refactor to unify detector and probe logic and improved handling for multiple generations. The work enhances reliability, accelerates onboarding of new outputs, and provides a solid foundation for future multi-gen deployments.
April 2026
March 2026
3 Commits • 2 Features
Mar 1, 2026In March 2026, NVIDIA/garak delivered notable security testing and observability improvements. The agent security testing capabilities were enhanced with a new agent_breaker probe and an attack framework updated for iterative, per-tool evaluation across components, while logging was refactored to remove hardcoded class names and dynamically include the class name for clearer, maintainable outputs. These changes focused on strengthening security assessments, improving debugging workflows, and increasing maintainability.
March 2026
3 Commits • 2 Features
Mar 1, 2026In March 2026, NVIDIA/garak delivered notable security testing and observability improvements. The agent security testing capabilities were enhanced with a new agent_breaker probe and an attack framework updated for iterative, per-tool evaluation across components, while logging was refactored to remove hardcoded class names and dynamically include the class name for clearer, maintainable outputs. These changes focused on strengthening security assessments, improving debugging workflows, and increasing maintainability.
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API developmentLLM analysisPythonPython developmentYAMLbackend developmentfull stack developmentsecurity testingunit testing
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