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Found 2 papers, 1 papers with code
Privacy Amplification via Shuffled Check-Ins
We study a protocol for distributed computation called shuffled check-in, which achieves strong privacy guarantees without requiring any further trust assumptions beyond a trusted shuffler.
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
In this method, an adversary uses the explanations to train the generative model and reduces the number of queries to steal the model.
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