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

  • Steganography

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

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

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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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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