A Deeper Look at Machine Learning-Based Cryptanalysis

coderman coderman at protonmail.com
Wed Feb 2 16:28:34 PST 2022


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‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Wednesday, February 2, 2022 11:53 PM, Undiscussed Horrific Abuse, One Victim & Survivor of Many <gmkarl at gmail.com> wrote:

> coderman,
>
> i had asked you about this topic privately and really appreciated
> seeing this paper

i was glad to see someone research it thoroughly!
 it's a fun read :)

there have been some optimizations in large deep model learning space
recently, and i wonder about combining these techniques into cryptanalysis:

https://cloud.google.com/ai-platform/training/docs/hyperparameter-tuning-overview

"""
This page describes the concepts involved in hyperparameter tuning,
which is the automated model enhancer provided by AI Platform Training.
Hyperparameter tuning takes advantage of the processing infrastructure
of Google Cloud to test different hyperparameter configurations when
training your model. It can give you optimized values for hyperparameters,
which maximizes your model's predictive accuracy.
"""


> i wanted to share that i'm not sure where that pgp key i started using
> is, anymore, i'm sorry about this. i don't remember how we started
> chatting via pgp. i may be able to find a way to do that again if
> desired.

it's not a problem. while i suspect someone could impersonate you, i also
feel that you're still Karl, even lacking a signature.  :P

i am CC'ing the list as you mention using the cpunks archives as external
memory storage during periods of duress.  let me know if you'd prefer i not.



take care; the days are getting longer, which means more time outside soon!

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