密码学者 Matthew Green：AI 出"惊喜"的速度与人类换标准的速度差好几个量级——"1%可能我们活在 Minicrypt、15%可能现有公钥加密体系失去信任"
Quoting Matthew Green
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导读
Simon Willison 引述：约翰霍普金斯大学密码学家 Matthew Green 在 Twitter 上以"我来当那个提最坏情况的怪人"开场：他认为我们有1%的概率活在 Minicrypt(一种"单向函数存在但公钥加密不可能"的计算世界)，而有15%的概率"在功能上失去对现有公钥加密算法的信任"。他强调：问题在于 AI 制造惊喜的速度与人类替换标准(哪怕有最好的 AI 辅助)的速度"相差好几个数量级"，"这种惊喜只有在提前做准备时才恢复得了"。Willison 附注他还去查了 Minicrypt 的定义。
主体与标签
Matthew Green#大佬观点#安全/加密#密码学
正文
Everyone is very concerned about being respectable, so I’m going to be the goofball who raises worst-case possibilities. I think there is a 1% chance we live in Minicrypt, and a 15% chance we functionally lose confidence in our existing public-key encryption algorithms. [...] The problem here is that the speed of AI producing surprises, and the speed of human beings replacing standards (even with the very best AI assistance) are just orders of magnitude different. You only recover from a surprise like this if you do the preparation in advance.
— Matthew Green , on Twitter. I looked it up and Minicrypt is Russell Impagliazzo’s hypothetical world in which public-key encryption is impossible.
Tags: ai-security-research , matthew-green , cryptography , standards , llms , ai , generative-ai