Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy

Oct-10-2025, 12:08:56 GMT–Neural Information Processing Systems

When releasing outputs from confidential data, agencies need to balance the analytical usefulness of the released data with the obligation to protect data subjects'

artificial intelligence, machine learning, risk profile, (19 more...)

Neural Information Processing Systems

Oct-10-2025, 12:08:56 GMT

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Country:
- North America > United States
  - Massachusetts > Middlesex County
    - Cambridge (0.04)
  - North Carolina > Durham County
    - Durham (0.04)
  - Texas > Andrews County (0.04)

Genre:
- Research Report > Experimental Study (1.00)

Industry:
- Government > Regional Government
  - North America Government > United States Government (0.67)
- Health & Medicine > Public Health (1.00)
- Information Technology > Security & Privacy (1.00)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Learning Graphical Models
    - Directed Networks > Bayesian Learning (0.83)
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (1.00)

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Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy

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