Privacy Amplification by Sampling in Practice

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Privacy amplification by random allocation

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Heterogeneity and Privacy in Modern Learning

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Chasing the Constants and Its Implication in Private Learning

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Privately Estimating Black-Box Statistics

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"Having Confidence in My Confidence Intervals": How Data Users Engage with Privacy-Protected Wikipedia Data

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Pairwise Network Differential Privacy

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When Unstoppable Frontier Agents Meet Immovable Attack Vectors

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2026 Is the New 2016, but Make It Privacy: On Federated Memory, Contextual Privacy, and Personalized Agents

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VaultGemma: A Differentially Private Gemma Model

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