The Technical Anatomy of Model Extraction in 2026 (The Great AI Theft of the Century?)
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Model extraction has industrialized this year and perhaps last year as well. Attackers now run phased pipelines of synthetic queries, hydra-style account multiplexing, and targeted logit harvesting to distill proprietary models at scale. This post presents the mathematics behind knowledge distillation and temperature manipulation, explains why watermarking fails under character-level perturbations, and covers the 2026 disclosures from Anthropic, Google GTIG, and NDSS. The defense section goes beyond API rate limits to behavioral fingerprinting, semantic embedding clustering, and optional logit poisoning—giving you a structured mental model for why perimeter controls alone are insufficient.
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