---
title: "AI时代下的密码学转型：Anthropic对后量子密码分析的影响"
source: "Simon Willison 博客（Atom）"
source_tier: "t2"
url: "https://simonwillison.net/2026/Jul/29/matthew-green/#atom-everything"
permalink: "https://feed.astralor.com/items/itm_cb633e0eeb2dca82611ee907"
published: "2026-07-29T18:18:15.000Z"
score: 73
channel: "ai"
tags: ["AI安全","Anthropic","Claude","后量子密码学","密码分析"]
---

# AI时代下的密码学转型：Anthropic对后量子密码分析的影响

## AI 点评

> 这篇引用Matthew Green的观点恰到好处地点出了AI在密码学转型中的双重角色——既是验证者也是潜在的破坏者。对于关注后量子密码标准化的安全专家和做AI安全研究的同学来说，这是一个不可忽视的信号：AI可能加速我们理解加密算法的极限。

## 速览

Matthew Green指出，当前正处于从传统公钥算法（基于椭圆曲线和RSA）向后量子算法转型的历史关键期，而AI在密码分析中的进步恰好在这一时机出现。他评论了Anthropic近期在密码学方面的研究，认为AI可能加快新算法的验证或带来意外突破。本文解析这一观点，并讨论AI对密码学安全性的潜在双重影响：既能增强对硬问题的信心，也可能颠覆现有安全假设。

## 关键点

- 当前公钥密码学正从EC/RSA向后量子算法迁移，方案如HAWK正在标准化。
- AI（尤其是Claude）在密码分析领域的能力提升，可能对新型算法提供验证或发现漏洞。
- Matthew Green认为这是大规模公开密码分析能力上线的最佳时机。
- 最佳情形下，AI将增强对硬问题的信心，使密码分析文献更加坚实。

## 全文

Right now we’re in the midst of a historic transition from traditional public-key algorithms based on EC-based cryptography and RSA, moving over to new post-quantum algorithms based on novel problems. This is why there are so many standards like HAWK being considered. If there was ever a perfect time for a massive new public cryptanalysis capability to come on line, we’re in it. So unless AIs succeed in undermining all of our hard problems altogether (or we live in Impagliazzo’s Minicrypt) then this could not be a better time for AI to get good at cryptanalysis. In the best case, the result is that we gain real confidence in the problems we’ve identified, and the cryptanalysis literature gets a lot more robust. Hopefully. — Matthew Green, on Anthropic's recent cryptography work Tags: anthropic, claude, generative-ai, cryptography, ai, llms, ai-security-research, claude-mythos-fable

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引用前请核对原文;本文由星际流动整理:https://feed.astralor.com/items/itm_cb633e0eeb2dca82611ee907