Strengthening our defenses against distillation attacks

In recent months, we’ve made substantial progress on reducing the effectiveness of distillation attacks on Claude using new methods, as we outline in this blog. Early evidence suggests that these methods have reduced the amount of data harvested by distillers by around 90 to 99%. Distillation attacks are covert, industrial-scale campaigns to extract the capabilities of one model and replicate them in another, without the authorization of the original model’s developers. They are often conducted using networks of fraudulent accounts. These attacks allow companies to mimic frontier capabilities for a fraction of the development time and cost.

Published by Anthropic Research. This page is a short excerpt; the full text is theirs.