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261021261021Toward Autopoiesis26F6DF오토포이에시스를 향해84A5EE차세대 디지털 브레인 만들기C24273261019261019261018261018디지털 시대의 언어 다양성을 위한 선언문507C2CManifesto for Linguistic Diversity in the Digital Age6B5B52261012261012코리지빌리티1CAB16261005261005261004261004Mesh EngineeringF27D1B그물망 엔지니어링881E3BThe devil is in the details94F308260923260923260919260919260917260917In the Agentic Era, should we become a dumb pipe?D815AC260916260916Coscientist6975BA260915260915Coscientific Swarm5F70E8협력적 연구 군체B9E26A
Perceptual Hashing

Perceptual Hashing

Warning

Over a year old. May be outdated

Intentionally maximizes the change of hash collision to detect similar images. Used by Google's Search by Image feature or Apple's CSAM. Perceptual Hashing

Algorithms and Their Performances

Zauner

  • Fastest: block-mean-based perceptual image hash.
  • Most discriminative: Marr-Hildreth operator-based hash function

Vulnerabilities

It's Not What It Looks Like: Manipulating Perceptual Hashing-based Applications

  • TLDR: A delicately designed image can fool a perceptual hash application, making it classify two completely different images as the same.
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