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arxiv: 2212.04133 · v1 · pith:C72U5NK3new · submitted 2022-12-08 · 💻 cs.CR

Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy

Skye Berghel , Philip Bohannon , Damien Desfontaines , Charles Estes , Sam Haney , Luke Hartman , Michael Hay , Ashwin Machanavajjhala
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Tom Magerlein Gerome Miklau Amritha Pai William Sexton Ruchit Shrestha
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classification 💻 cs.CR
keywords analyticsdifferentialframeworkprivacytumultbureaucensusdesign
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In this short paper, we outline the design of Tumult Analytics, a Python framework for differential privacy used at institutions such as the U.S. Census Bureau, the Wikimedia Foundation, or the Internal Revenue Service.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. CityOS: Privacy Architecture for Urban Sensing

    cs.OS 2026-05 unverdicted novelty 7.0

    CityOS is an edge runtime that enforces a three-tier privacy API for urban sensors: local raw data, differentially private single-location stats, and cross-location aggregates with per-user budgets enforced on devices.

  2. Predictability as a Fine-Grained Measure for Privacy

    cs.LG 2026-06 unverdicted novelty 6.0

    Predictability is defined as incremental predictive gain for attackers with partial dataset knowledge; it is incomparable to DP in general but implies mutual-information DP in the worst case of one uncompromised indiv...

  3. DP4SQL: Differentially Private SQL with Flexible Privacy Policies

    cs.CR 2026-06 unverdicted novelty 6.0

    DP4SQL enables customizable differentially private SQL for relational databases by supporting flexible policies for record existence, contents, partially public data, and varying protection levels across data parts.

  4. Differentially Private Modeling of Disease Transmission within Human Contact Networks

    cs.CR 2026-04 unverdicted novelty 6.0

    A differentially private pipeline using node-level DP summaries to fit ERGMs or SBMs, generate synthetic networks, and simulate SIS disease spread on ARTNet sexual contact data produces incidence, prevalence, and inte...