Many AI researchers think fakes will become undetectable

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • ShuffleProofs.jl

    Verificatum compatible verifier and prover for NIZK proofs of shuffle

    > uses a secret only exists on each individual phone

    There is actually a way to prevent individuals from being traced while having a strong membership proof. This can be achieved by issuing signatures on a relative generator created in an exponentiation mix together with a set of output pseudonyms. One can picture it as strands braided together where it is hard to trace the link between the input and output strands, while it is very easy to tell that such a link exists.

    More on that can be found on:

    https://github.com/PeaceFounder/ShuffleProofs.jl

  • InfluxDB

    Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.

    InfluxDB logo
  • Steganography

    Steganography algorithms implemented in C++ with OpenCV. (by RoliSoft)

    https://github.com/RoliSoft/Steganography/tree/master

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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