A2-DIDM uses accumulators and ZK proofs on blockchain to verify DNN model identity from weight checkpoint sequences while protecting data and function privacy.
Fingerprinting deep neural networks globally via universal adversarial perturbations,
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A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model
A2-DIDM uses accumulators and ZK proofs on blockchain to verify DNN model identity from weight checkpoint sequences while protecting data and function privacy.