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xDup: Privacy-Preserving Deduplication for Humanitarian Organizations using Fuzzy PSI

About

Humanitarian organizations help to ensure people's livelihoods in crisis situations. Typically, multiple organizations operate in the same region. To ensure that the limited budget of these organizations can help as many people as possible, organizations perform cross-organizational deduplication to detect duplicate registrations and ensure recipients receive aid from at most one organization. Current deduplication approaches risk privacy harm to vulnerable aid recipients by sharing their data with other organizations. We analyzed the needs of humanitarian organizations to identify the requirements for privacy-friendly cross-organizational deduplication fit for real-life humanitarian missions. We present xDup, a new practical deduplication system that meets the requirements of humanitarian organizations and is two orders of magnitude faster than current solutions. xDup builds on Fuzzy PSI, and we present otFPSI, a concretely efficient Fuzzy PSI protocol for Hamming Space without input assumptions. We show that it is more efficient than existing Fuzzy PSI protocols.

Tim Rausch, Sylvain Chatel, Wouter Lueks• 2026

Related benchmarks

TaskDatasetResultRank
Fuzzy Private Set IntersectionSynthetic bit strings l=128, tau=4
Total Time (s)0.301
12
Fuzzy Private Set IntersectionFuzzy Private Set Intersection Evaluation l=512, Unlimited Network
Execution Time (s)0.0293
12
Fuzzy Private Set IntersectionSynthetic Dataset l=512, nQ=nR=512
Total Run Time (s)4.58
11
Fuzzy Private Set IntersectionSynthetic Dataset (τ=l/16, nQ=nR=128)
Total Run Time (s)0.067
9
Fuzzy Private Set IntersectionSynthetic Fuzzy Private Set Intersection (FPSI) data l=256 (test)
Communication Size (MiB)3.22
6
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