Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings. (arXiv:2401.15048v1 [cs.CV])

In the realm of security applications, biometric authentication systems play
a crucial role, yet one often encounters challenges concerning privacy and
security while developing one. One of the most fundamental challenges lies in
avoiding storing biometrics directly in the storage but still achieving
decently high accuracy. Addressing this issue, we contribute to both artificial
intelligence and engineering fields. We introduce an innovative image
distortion technique that effectively renders facial images unrecognizable to
the eye while maintaining their identifiability by neural …

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