Training Data Extraction

Reason about training-data extraction as a defender. Learn the canonical research lineage (Carlini et al. on extraction from LLMs), memorisation drivers (duplication, rare strings, model size), the canary-planting evaluation methodology, the defence stack (training-data deduplication, differential privacy at training time, inference-time output filters, retrieval guards), and the disclosure norm in system cards.