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#fuzzymatching — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #fuzzymatching, aggregated by home.social.

  1. HEADSUP: Ofcom *tonight* to announce demand for apps, websites to deploy “hash matching” (i.e. client-side scanning, fuzzy matching) of uploaded images “to protect children”

    privacy impact: logfiles of fuzzy-matching hash databases become long-term surveillance pipeline to retrospectively track whistleblower leak images, Snowden 2.0, etc; plus enabling censorship of arbitrary content.

    WATCH THIS SPACE; ETA 2230H LONDON.

    #censorship #clientSideScanning #fuzzyMatching #hashMatching #ofcom #surveillance
  2. HEADSUP: Ofcom *tonight* to announce demand for apps, websites to deploy “hash matching” (i.e. client-side scanning, fuzzy matching) of uploaded images “to protect children”

    privacy impact: logfiles of fuzzy-matching hash databases become long-term surveillance pipeline to retrospectively track whistleblower leak images, Snowden 2.0, etc; plus enabling censorship of arbitrary content.

    WATCH THIS SPACE; ETA 2230H LONDON.

    #censorship #clientSideScanning #fuzzyMatching #hashMatching #ofcom #surveillance
  3. HEADSUP: Ofcom *tonight* to announce demand for apps, websites to deploy “hash matching” (i.e. client-side scanning, fuzzy matching) of uploaded images “to protect children”

    privacy impact: logfiles of fuzzy-matching hash databases become long-term surveillance pipeline to retrospectively track whistleblower leak images, Snowden 2.0, etc; plus enabling censorship of arbitrary content.

    WATCH THIS SPACE; ETA 2230H LONDON.

    #censorship #clientSideScanning #fuzzyMatching #hashMatching #ofcom #surveillance
  4. Later on, I realised this technology could also be used to fuzzily compare texts to determine if they look similar, I tested this technology in #Diaphora as a mean to determine if two pseudo-codes are 'similar' by comparing the 3 fuzzy hashes #DeepToad calculates and it turns out it worked much better than other approaches I tested (and better than expected!) so, finally I integrated it into the public version of Diaphora.

    #FuzzyHashing
    #FuzzyMatching
    #ApproximateStringMatching