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Anthropic details defenses against distillation attacks on Claude

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AnthropicAI@AnthropicAI

Over the last few months, we’ve made significant progress in reducing the effectiveness of distillation attacks against Claude. In this post, we explain how: https://t.co/uWiRSLBuOS

Why it matters

Anthropic describes progress in blunting attacks against Claude. If you build on or train against frontier model outputs, it signals tighter enforcement on using API outputs to train competing models.

Terms in this piece · Glossary
  • distillation — Training a small, cheap model to imitate a big one's outputs, keeping much of the capability at a fraction of the cost.
  • eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
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