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Jun 26, 2021 at 6:00 history tweeted twitter.com/StackCrypto/status/1408666354153050112
Jun 25, 2021 at 21:09 vote accept fgrieu
Jun 25, 2021 at 20:21 answer added poncho timeline score: 2
Jun 25, 2021 at 16:16 comment added Samuel Neves No; finding all $k$ private keys costs $O(\sqrt{kn})$, that is, you save a $\sqrt{k}$ factor compared to solving each log separately. This has been explicitly proved by Yun, but was already the cost of the best attack since 1997 or so (Silverman).
Jun 25, 2021 at 16:10 comment added fgrieu @SamuelNeves: [Updated: following the next comment, I now get you, and that your existing answer does solve the question]. I don't get you. Are you saying finding all private keys is as hard as finding one? I'm ready to believe that, but how?
Jun 25, 2021 at 16:08 comment added Samuel Neves There's no precomputation involved there either; the "precomputation" is really just solving the first target (or a dummy target, if one insists on precomputation).
Jun 25, 2021 at 16:06 comment added fgrieu @Samuel Neves: thanks for pointing that. Not quite the same maybe: precomputation is not the same as multi-target, because the target(s) are not known when a precomputation starts. In RSA at least, that makes a significant difference: I know no precomputation attack to factor RSA moduli, but there are some (borderline useful) multi-target attacks, like Pollard's p-1.
Jun 25, 2021 at 16:04 comment added Samuel Neves This is basically the same as this answer
Jun 25, 2021 at 15:59 history edited fgrieu CC BY-SA 4.0
no QC
Jun 25, 2021 at 14:36 comment added SAI Peregrinus The issue with that is that it's from 2001. I expect there's new research, or that new attacks might be cheaper. So I don't really want to answer it with that alone, since it's a 20-year old paper. I just remembered that it's cited in the "Batch discrete logarithms" section of Bernstein's Curve25519 paper and looked it up. Certainly it's an upper-bound on the difficulty though.
Jun 25, 2021 at 14:31 comment added SAI Peregrinus I know Kuhn and Struik proved in 2001 (section 4) that Pollard's rho method can compute $k$ discrete logs in $\sqrt k$ time. The first takes the full expected time, the second less, the next even less, etc.
Jun 25, 2021 at 14:06 history asked fgrieu CC BY-SA 4.0