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Binius: Highly efficient proofs over binary fields

86 点作者 fbrusch大约 1 年前

6 条评论

Retr0id大约 1 年前
I don't quite have the background to read this article as-is, could anyone recommend an introduction to STARKs? My google search results are full of cryptocurrency blogspam.
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graycat大约 1 年前
The linear algebra book by E. Nering does the material over finite fields.<p>As I recall, Nering was an E. Artin student at Princeton.
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DoctorOetker大约 1 年前
&gt; But this also means that the coordinate must be sampled from a set large enough that the attacker cannot guess it by random chance. If the modulus is near ( 2 ^ 256 ), this is clearly the case. But with a modulus of ( 2 ^ 64 - 2 ^ 32 + 1 ), we&#x27;re not quite there, and if we drop to ( 2 ^ 31 - 1 ), it&#x27;s definitely not the case. Trying to fake a proof two billion times until one gets lucky is absolutely within the range of an attacker&#x27;s capabilities.<p>&gt; To stop this, we sample r from an extension field. For example, you can define y where y ^ 3 = 5, and take combinations of 1, y and y ^ 2 .<p>This <i>reads</i> like trying to increase entropy without adding entropy. Given the analogy of bruteforcing a low entropy preimage in a hash, Concatenating the secret preimage with itself, or adding capitalization on the second occurence etc. does not increase entropy, its just a constant factor in computational complexity which both attacker and defender suffer.<p>I am probably misunderstanding what&#x27;s written, but I suspect its due to the unclear exposition...
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photonthug大约 1 年前
the summary convinced me I don’t have the background to read the article, but that is easily the best diagram I’ve seen all week.
uptownfunk大约 1 年前
Wow great article, I like the recaps
downvotetruth大约 1 年前
&gt; Square root is expensive<p><a href="https:&#x2F;&#x2F;reddit.com&#x2F;r&#x2F;math&#x2F;comments&#x2F;tc7lur&#x2F;computing_square_roots_in_binary_by_hand_is&#x2F;" rel="nofollow">https:&#x2F;&#x2F;reddit.com&#x2F;r&#x2F;math&#x2F;comments&#x2F;tc7lur&#x2F;computing_square_r...</a>
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