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Learning versus Refutation in Noninteractive Local Differential Privacy
We study two basic statistical tasks in non-interactive local differential privacy (LDP): learning and refutation.
The Power of Factorization Mechanisms in Local and Central Differential Privacy
We give new characterizations of the sample complexity of answering linear queries (statistical queries) in the local and central models of differential privacy: *In the non-interactive local model, we give the first approximate characterization of the sample complexity.
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