Generating Collisions on NeuralHash

Security and privacy

perceptual hash attacks

SHOW HN2021

22points
6comments
#1,321of 2,533 in 2021
Top 53%of 2021 by points

How HN took it

QuietFewer than 5 comments about the project

0 positive, 1 neutral or asking, 0 mixed, 1 critical, out of 2 comments about the project.

Docs: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Commenter says the hash-tolerance property explains why perceptual hashes are poor evidence

    From 1 comment
    • What you're highlighting is the lack of avalanche effect with perceptual hashes (on purpose). This makes them great for identifying transformed content (e.g. local TV channels…
      chaboud on HN

Objections

  • Title overstates the work since the maker lacks Apple's actual architecture and weights

    From 1 comment
    • >I don't have the architecture nor the weights of the actual neural hash they use so this is only a POC in the general case. Then why is this titled "Generating Collisions on…
      krapp on HN

Questions

  • How steganographic content would affect the perceptual hash similarity

    From 1 comment
    • In the manual review failure case, you're saying that the reviewer would decrypt the steganographical encryption, discover the hidden offensive content, and thereby decide that…
      tehnub on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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