Pacifo speeds encrypted ResNet20 inference while keeping most accuracy
Runtime is 3.7 to 21.7 times faster than prior FHE ResNet20 work, retaining 95% to 99% plaintext accuracy.
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Dagger: Decoupling-based Model Stealing Attack against Graph Neural Networks
Dagger steals GNN models from hard-label APIs with higher fidelity and far fewer queries.