A catalog of naturally occurring images whose Apple NeuralHash is identical

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  • AppleNeuralHash2ONNX

    Convert Apple NeuralHash model for CSAM Detection to ONNX.

  • Why are exact collisions interesting?

    This algorithm doesn't even give exact matches for the same image on different hardware.

    https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX

    Note: Neural hash generated here might be a few bits off from one generated on an iOS device. This is expected since different iOS devices generate slightly different hashes anyway. The reason is that neural networks are based on floating-point calculations. The accuracy is highly dependent on the hardware. For smaller networks it won't make any difference. But NeuralHash has 200+ layers, resulting in significant cumulative errors.

  • neuralhash-collisions

    A catalog of naturally occurring images whose Apple NeuralHash is identical.

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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