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How the NSA Identified Satoshi Nakamoto

medium.com

1–8 of 8 posts

Re: How the NSA Identified Satoshi Nakamoto

#3
Posted before, and my thoughts on it are the same. Is it plausible the NSA has really identified Satoshi Nakamoto? Of course, they have the resources needed.

But this article is very short on evidence beyond 'trust me, I know a guy'. It's the equivalent of saying your uncle works at Nintendo or what not. It might be true, but you've given people no way to truly be sure.

It's all pure blind faith.

Again, I'll stay optimistic, but without evidence, I won't bet on anything.

Re: How the NSA Identified Satoshi Nakamoto

#4

I wonder how hard it would be to make a 'sentence anonymizer'. Like an English to English version of Google LSTM translator network. Perhaps trained adversarially.

https://psal.cs.drexel.edu/index.php/JStylo-Anonymouth

> JStylo is used as an underlying feature extraction and authorship attribution engine for Anonymouth, which uses the extracted stylometric features and classification results obtained through JStylo and suggests users changes to anonymize their writing style.

Re: How the NSA Identified Satoshi Nakamoto

#5

I wonder how hard it would be to make a 'sentence anonymizer'. Like an English to English version of Google LSTM translator network. Perhaps trained adversarially.

One example is linked in the bottom of the article:

> How to Protect Yourself: There is a project on Github you can join to help create a way to write without fingerprints: https://github.com/psal/anonymouth

Re: How the NSA Identified Satoshi Nakamoto

#8
post #5

I wonder how hard it would be to make a 'sentence anonymizer'. Like an English to English version of Google LSTM translator network. Perhaps trained adversarially.

One example is linked in the bottom of the article: > How to Protect Yourself: There is a project on Github you can join to help create a way to write without fingerprints: https://github.com/psal/anonymouth

This works by using already existing author detection software, and simply warning the author if the sentences seem too particular. That's probably a pretty good solution, though it doesn't give much assurance against other identification programs.