Strengthening our defenses against distillation attacks
- Published
- Record updated
Summary
Anthropic reports new defenses against distillation attacks on Claude, which it says have cut the data harvested by distillers by around 90 to 99 percent. Distillation, the covert extraction of one model's capabilities to build another without authorization, is often run through networks of fraudulent accounts. Anthropic says distilled models can carry cyber and biology capabilities without proportionally robust safeguards, and cites Zhipu's distillation of cyber capabilities during development of GLM-5.3.
Mitigation
Anthropic says its defenses focus almost entirely on making Claude's reasoning transcripts harder for distillers to access, and that these measures involve trade-offs, including turned-away paying traffic and required integration updates for some legitimate users. No further fix, patch or configuration change is described in the excerpt.
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