AppleNeuralHash2ONNX
neuralhash-collisions
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AppleNeuralHash2ONNX | neuralhash-collisions | |
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107 | 11 | |
1,517 | 149 | |
- | 0.7% | |
0.0 | 0.0 | |
over 2 years ago | over 1 year ago | |
Python | JavaScript | |
Apache License 2.0 | MIT License |
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AppleNeuralHash2ONNX
- Legit app in Google Play turns malicious and sends mic recordings every 15 minutes
- Daily General Discussion - October 27, 2022
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How did apple train its cp filtering algorithm?
Perhaps you're referring to the hash collisions that were generated for the client-side NeuralHash which was reverse engineered about a year ago: https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX/issues/1
- [Request] A way to remove Apple’s new NeuralHash ( iCloud CSAM scanner )
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Google AI flags parents' accounts for potential abuse over kid's photos
Except Apple’s hashes have collisions where images that are similar in content but not identical will have the same hash. Meaning their process will have the same result: benign images being flagged as CSAM. See an example here https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX/issues/1
- Apple Remains Silent About Plans to Detect Known CSAM Stored in iCloud Photos
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Apple should scan iPhones for child abuse images, says scanning technology inventor
perceptual hashes are completely broken due to false positives, like making a picture of a dog having the same hash as CSAM images. They are vulnerable to collision and have no preimage resistance, the most important feature. Because of that you can DOS conversations and people by sending dog images with the same hash as a CSAM: https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX/issues/1
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UK cybersecurity chiefs back plan to scan phones for child abuse images | GCHQ | The Guardian
Specifically the fact that you can have one hash on two images, for example. There are other ways to abuse the CSAM system, which is confirmed by several researchers (one, two). And Apple saying it's not a concern... only to pull back on these plans.
- Frage zur drohenden Chatkontrolle
- Apple’s CSAM troubles may be back, as EU plans a law requiring detection
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?
GmsCore - Free implementation of Play Services
videohash - Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 64-bit comparable hash-value for any video.
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.
neural-hash-collider - Preimage attack against NeuralHash 💣
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
tfjs - A WebGL accelerated JavaScript library for training and deploying ML models.
OpenWifiPass - An open source implementation of Apple's Wi-Fi Password Sharing protocol in Python.
Watusi-for-WhatsApp - Your all-in-one tweak for WhatsApp Messenger!
ExpansionCards - Reference designs and documentation to create Expansion Cards for the Framework Laptop
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
OpenShadingLanguage - Advanced shading language for production GI renderers