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New contact tracing algorithm uses differential privacy to protect COVID-19 risk scores

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel contact tracing algorithm designed to mitigate privacy concerns associated with revealing individual risk scores for COVID-19. This algorithm incorporates differential privacy guarantees, specifically addressing an attack scenario where an adversary could infer health status from risk score communication. Tested on two common COVID-19 simulators, the algorithm demonstrated a significant reduction in infection rates, achieving a two to ten-fold decrease even when releasing risk scores with an epsilon of 1. AI

IMPACT This research could enable more widespread and privacy-preserving adoption of contact tracing technologies, potentially reducing the spread of infectious diseases.

RANK_REASON The cluster contains an academic paper detailing a new algorithm with differential privacy guarantees. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New contact tracing algorithm uses differential privacy to protect COVID-19 risk scores

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19 / 100
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The cluster contains an academic paper detailing a new algorithm with differential privacy guarantees. [lever_c_demoted from research: ic=1 ai=0.7]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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paper, safety
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling ·

    Protect Your Score: Contact Tracing With Differential Privacy Guarantees

    arXiv:2312.11581v3 Announce Type: replace-cross Abstract: The pandemic in 2020 and 2021 had enormous economic and societal consequences, and studies show that contact tracing algorithms can be key in the early containment of the virus. While large strides have been made towards m…

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