Anthropic 推出 FlashProve:可验证大模型推理来源并开源代码
New Anthropic research: progress on provable inference for large language models. Here, we introduce FlashProve. Building on established cryptographic techniques, FlashProve allows developers to verify whether a given response came from a given AI model. It’s substantially more efficient than prior open-source methods for doing so. These proofs have a range of applications. They can, for instance, make it harder for attackers to hijack a chat, or enable safety evaluators to verify that the model they’re testing is the same one being served to customers. For our full write-up, see here: https://t.co/OIZWPb6QZa Further progress in provable inference will likely be an important part of improving trust in AI deployment. To that end, we're open-sourcing FlashProve’s code, here: https://t.co/7ky3Ir8V06 We’re grateful to our collaborators: Alessandro Chiesa, @GiacomoFenzi, @gwberg95, @miranda__christ, Rahul Dalal (https://t.co/pjWKLHWXyz) and Ben Mayer (@transmissions11).
Anthropic 推出 FlashProve,基于成熟密码学技术让开发者验证某条回复是否来自指定 AI 模型,效率显著高于此前的开源方法。该证明可用于增加攻击者劫持对话的难度,也让安全评估者确认被测模型与实际服务模型一致。Anthropic 已开源 FlashProve 代码。
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