NVIDIA/garak
Mar 2026 – Mar 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
AI developmentAI/MLModel IntegrationPython Developmentprompt engineeringvulnerability assessment
Bar Lanyado
PROFILE
Bar Lanyado
Developed consolidated security testing enhancements for the NVIDIA/garak repository, focusing on safer and more effective vulnerability assessment workflows. The work integrated improved system prompts to enable harm-limited generation of vulnerability payloads, reducing risk during testing. Additionally, the agent breaker detector and probe were upgraded to leverage the GPT-OSS model, resulting in more realistic attack simulations and enhanced detection accuracy. Implemented primarily in Python and YAML, these changes expanded testing coverage and accelerated iteration on security scenarios. All contributions were delivered as signed, traceable commits, supporting safer experimentation and faster feedback loops within AI/ML-driven security testing environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
10
Activity Months1
Your Network
66 peopleWork History
March 2026
2 Commits • 1 Features
Mar 1, 2026March 2026: NVIDIA/garak security testing enhancements delivered a consolidated, safer testing workflow. The work combines two capabilities: (1) system prompt improvements enabling harm-limited vulnerability payload generation; (2) GPT-OSS-based attacker/detector upgrade for more realistic attack simulations and improved detection. These changes expand testing coverage, reduce risk to production environments, and accelerate iteration on security scenarios. Notable commits are signed and traceable.
2 Commits • 1 Features
Mar 1, 2026March 2026: NVIDIA/garak security testing enhancements delivered a consolidated, safer testing workflow. The work combines two capabilities: (1) system prompt improvements enabling harm-limited vulnerability payload generation; (2) GPT-OSS-based attacker/detector upgrade for more realistic attack simulations and improved detection. These changes expand testing coverage, reduce risk to production environments, and accelerate iteration on security scenarios. Notable commits are signed and traceable.
March 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
AI developmentAI/MLModel IntegrationPython Developmentprompt engineeringvulnerability assessment
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