A data-free membership inference attack reconstructs images from federated learning updates using standard cell library layouts as priors, allowing inference of hardware characteristics such as circuit layers and technology nodes from reconstruction fidelity.
Gan enhanced membership inference: A passive local attack in federated learning
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A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance
A data-free membership inference attack reconstructs images from federated learning updates using standard cell library layouts as priors, allowing inference of hardware characteristics such as circuit layers and technology nodes from reconstruction fidelity.