adversarial-ml
Geometric AI governance and evaluation framework with a 14-layer security pipeline, semantic projection, and reproducible benchmark lanes.
Generate YARA rules automatically from positive and negative examples. For PII detection, secret scanning, and prompt injection.
Automatically generate YARA rules from adversarial and benign text samples. Built for detecting indirect prompt injection attacks on RAG pipelines.
Collection of Python security analysis tools for ML models and infrastructure. Includes FGSM harness, model inspection, poison monitoring, and deployment security validation.
