NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors
Quick Answer
This paper shows that The NVIDIA garak tutorial provides a comprehensive framework for defensive LLM red-teaming, detailing setup, plugin discovery, and evaluations using Hugging Face models.
Quick Take
The NVIDIA garak tutorial provides a comprehensive framework for defensive LLM red-teaming, detailing setup, plugin discovery, and evaluations using Hugging Face models. It emphasizes analyzing safety scores, attack success rates, and extending functionality with custom probes, concluding with exporting results in AVID format for vulnerability assessment.
Key Points
- Covers end-to-end workflow for defensive LLM red-teaming using NVIDIA garak.
- Includes setup, plugin discovery, and evaluations on Hugging Face generators.
- Analyzes safety scores and attack success rates for model outputs.
- Extends garak's capabilities with custom probes and detectors.
- Exports results in AVID format for structured vulnerability analysis.
Article Excerpt
From source RSS / original summaryThis tutorial walks through NVIDIA garak as an end-to-end framework for defensive LLM red-teaming. It covers setup, plugin discovery, dry runs, real-model scans on a Hugging Face generator, and multi-probe evaluations. The workflow then analyzes safety scores and attack success rates, inspects flagged outputs, and extends garak with a custom probe and detector.
It closes by exporting results in AVID format for structured vulnerability The post NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors appeared first on MarkTechPost.
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