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Detecting Data and Model Poisoning Attacks
detecting-data-and-model-poisoning
mukul975/Anthropic-Cybersecurity-Skills
397
This skill provides comprehensive tools to detect data poisoning and model backdooring attacks throughout the machine learning lifecycle. It checks data provenance, detects label-flip anomalies (using Cleanlab), and analyzes model activations and spectra (using ART) to identify malicious triggers or compromised weights, ensuring ML supply chain integrity.
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