Attacking Perceptual Hashing with Adversarial Machine Learning
Public code release for USENIX '23 submission. Updates coming soon.
In the meantime feel free to view our ePrint pre-release.
Have a tab to choose between multiple attacks
Inline algorithms and figures (maybe animations?)
Hi,
I wanted to express my appreciation for your great work.
I am currently working on perceptual hash methods, as well as attacks and defenses in this domain. I was wondering if you would be willing to share your implementations on this work, as I believe they would be a valuable resource for my research.
Thank you for your time,
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