Fully Oblivious Differential Privacy for Frequency Estimation in the Augmented Shuffle Model with Trusted Processors

arXiv:2606.09402 · cs.CR · Submitted 2026-06-08 · Read on arXiv

cs.CR

Submitted: 2026-06-08

Updated: 2026-08-27

Terminology

Accuracy — 43× in this paper · explained in 1 episode
Robustness — 40× in this paper · explained in 5 episodes
Differential Privacy — 30× in this paper · explained in 4 episodes
Trace — 23× in this paper · explained in 2 episodes
Geometric Distribution — 22× in this paper · explained in 2 episodes
Uniform Dummies — 16× in this paper
Differentially Private — 6× in this paper · explained in 3 episodes
Federated Learning — 4× in this paper · explained in 14 episodes
Trusted Execution Environment — 4× in this paper
Analyzer — 1× in this paper · explained in 1 episode
Communication Overhead — 1× in this paper · explained in 2 episodes
Differential Obliviousness — 1× in this paper
Generalization — 1× in this paper · explained in 13 episodes
Maximal Gain Attack — 1× in this paper
Mean Squared Error — 1× in this paper
Multi-Party Computation — 1× in this paper
Verification — 1× in this paper · explained in 2 episodes

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