全同态加密 FHE 长期以来被视为密码学的圣杯之一,其他几个为 ZK、TEE、MPC,ZK 的龙头是 Zcash 而 FHE的龙头为 ZAMA,几个体系并行发展且互补。 前景与技术不过多赘述。 @zama 是目前为数不多尝试把 FHE 从“学术研究”推进到“可用”阶段的公司之一,现在到什么地步了呢,大部分 FHE 赛道的项目都依赖于 ZAMA 技术更新来推进升级,ZAMA 不往前推进 FHE 赛道都停滞发展了,主要为其他 FHE 项目提供可用的技术方案。 ZAMA 是 2020年的项目,近两年估值也从 4 亿升至 10 亿左右,前阵子还战略收购 KKRT Labs,厚积薄发、发展得很顺利。 以后会如何存在?可能是 L2 、L2、侧链,也可能是升级现有公链,能够想象某个公链添加 FHE 之后变成隐私公链?从应用层增加隐私是一个办法,从公链底层增加隐私也是个办法。 如何理解 ZAMA?让你的每笔链上交易从 HTTP 转为 HTTPS。 类似的场景:Aster、Hype 两者对隐私订单的争议,FHE 就是去中心化解决隐私订单的技术。也正因为是前沿不断发展的技术赛道,离普通用户的感知稍微有点远,但赛道是值得重点关注的,龙头共识在 ZAMA。
I wish more ZK and FHE people would give their overhead as a ratio (time to compute in-cryptography vs time to compute raw), rather than just saying "we can do N ops per second" It's more hardware-independent, and it gives a very informative number: how much efficiency am I sacrificing by making my app cryptographic instead of trust-dependent? It's also often better for estimation because as a developer I *already know* how much time my computation takes to compute raw, so I can just multiply. (Yes, I know this is hard because the ops required are heterogeneous between executing and proving, especially around SIMD/parallelization and memory access patterns, so even a ratio is hardware-dependent to some extent, but even still I think overhead factor is a good number despite these imperfections)
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