Damon L. Woodard
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The paper introduces DECIFR, a novel two-stage Membership Inference Attack (MIA) that exploits standard cell library layouts to reconstruct sensitive IC training data from intercepted federated model updates, demonstrating a critical privacy vulnerability in standard Federated Learning.
This paper presents a novel data-free Membership Inference Attack (MIA) that uses gradient inversion on Standard Cell Library Layouts (SCLLs) to reconstruct sensitive hardware images from intercepted Federated Learning model updates, demonstrating significant IP leakage.
Papers
DECIFR: Domain-Aware Exfiltration of Circuit Information from Federated Gradient Reconstruction
The paper introduces DECIFR, a novel two-stage Membership Inference Attack (MIA) that exploits standard cell library layouts to reconstruct sensitive IC training data from intercepted federated model…