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Found 2 papers, 1 papers with code
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing
First, a CNN model to be tested is strategically partitioned into a private part kept locally by the model developer, and a public part outsourced to an outside server.
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
However, the DL models may be prone to the membership inference attack, where an attacker determines whether a given sample is from the training dataset.
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