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📕 LLM Security: 50+ Adversarial Probes you need to know.
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Testing Machine Learning Classification models for fraud detection

This article explains how Giskard open-source ML framework can be used for testing ML models and applied to fraud detection. It explores the components of Giskard: the Python library, its user-friendly interface, its installation process, and practical implementation for banknote authentication. The article provides step-by-step guide, code snippets, and leverages the banknote authentication dataset to develop an accurate ML model.

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