Protect Your Score: Contact Tracing With Differential Privacy Guarantees
cs.CR, cs.AI, cs.LG
Submitted: 2023-12-18
Updated: 2026-09-11
Comments: Accepted to The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), presented in oral session
Code: https://github.com/RobRomijnders/dpfn
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- COVI White Paper
- Small-Coupling Dynamic Cavity: a Bayesian mean-field framework for epidemic inference
- PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing
- Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs
- CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data
- Apps Gone Rogue: Maintaining Personal Privacy in an Epidemic
- Decentralized Privacy-Preserving Proximity Tracing
- Considerations on the Theory of Training Models with Differential Privacy
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