neural-hash-collider
neuralhash-collisions
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| neural-hash-collider | neuralhash-collisions | |
|---|---|---|
| 37 | 11 | |
| 651 | 149 | |
| - | 0.7% | |
| 1.2 | 0.0 | |
| about 1 year ago | over 1 year ago | |
| Python | JavaScript | |
| MIT License | MIT License |
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neural-hash-collider
- Daily General Discussion - October 27, 2022
- [@tim_cook about privacy] “We believe privacy is a fundamental human right, and the best technology is one that people can trust. At Apple, we’re constantly innovating to give our users more control over how their data is used and the choice with whom to share it.”
- Under pressure from Russian government Google, Apple remove opposition leader's Navalny app from stores as Russian elections begin
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Apple delays iPhone photo-scanning plan amid fierce backlash
That assumes the hash is base 26 which would be fun, but most hashing systems including NeuralHash are hexadecimal. NeuralHash also outputs 24 character hashes so there are 1624 possible NeuralHashes. However all of that ignores that NeuralHash is designed so that visually similar images will return the same hash on purpose. You can even provide two images of your choosing to this library and it will make them collide https://github.com/anishathalye/neural-hash-collider
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Delays Aren't Good Enough–Apple Must Abandon Its Surveillance Plans
This is incorrect.
The images in this link [1], are completely different. One is a cat, one is a dog. Same hash produced for both.
[1] https://github.com/anishathalye/neural-hash-collider
- GitHub - anishathalye/neural-hash-collider: Preimage attack against NeuralHash 💣
- The All-Seeing "i": Apple Just Declared War on Your Privacy
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Tell Apple: Don’t Scan Our Phones
And here: https://github.com/anishathalye/neural-hash-collider
- Apple Just Gave Millions of Users a Reason to Quit Their iPhones
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Apple Just Gave Millions Of Users A Reason To Quit Their iPhones
Also, Apple’s NeuralHash is rather prone to hash collisions, i.e. false positives, so you should absolutely expect at least some of your on-device pics to be viewed by unauthorized Apple/government personell.
neuralhash-collisions
- Daily General Discussion - October 27, 2022
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Apple’s Plan to Scan Photos in Messages Turns Young People Into Privacy Pawns
Sure. Here's one - https://github.com/roboflow-ai/neuralhash-collisions/tree/main/collisions/ba1d5ae53385e49505200f16
- FBI: California man accessed thousands of iCloud accounts in search for nude photos and videos
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Hacker News top posts: Aug 25, 2021
A catalog of naturally occurring images whose Apple NeuralHash is identical\ (127 comments)
- A catalog of naturally occurring images whose Apple NeuralHash is identical
- Bay Area doctor found with 2k images, videos of child pornography on iCloud
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[P] Run NeuralHash in your browser!
The ImageNet collisions found here can be consistently reproduced in the demo
What are some alternatives?
hardened_malloc - Hardened allocator designed for modern systems. It has integration into Android's Bionic libc and can be used externally with musl and glibc as a dynamic library for use on other Linux-based platforms. It will gain more portability / integration over time.
videohash - Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 64-bit comparable hash-value for any video.
json - JSON for Modern C++
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
harbormaster
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prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
AppleNeuralHash2ONNX - Convert Apple NeuralHash model for CSAM Detection to ONNX.
photoshopCClinux - Photoshop CC v19 installer for Gnu/Linux
OpenShadingLanguage - Advanced shading language for production GI renderers