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Preserving Privacy and Validating Models through Hashing Technique
By using a verified sensor and hashing the signed hash from it along with the edited image, privacy of the original image can be maintained. This technique is applicable in machine learning where ensuring the model's correctness is crucial. Unlike prior techniques lacking commitment to weights, this method involves hashing weights to assure the correctness of the final model, thus providing a stronger guarantee of model authenticity in ZKML space.