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Seres, I. A., Pejó, B., & Burcsi, P. 2022, May 2–6 The effect of false positives: why fuzzy message detection leads to fuzzy privacy guarantees?. Unpublished paper presented at Financial Cryptography and Data Security 2022. 
Added by: Rucknium (5/5/22, 9:35 PM)   
Resource type: Conference Paper
BibTeX citation key: Seres2022
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Categories: Monero-focused
Creators: Burcsi, Pejó, Seres
Collection: Financial Cryptography and Data Security 2022
Views: 77/2278
Attachments   URLs   https://fc22.ifca. ... eproceedings/9.pdf
Fuzzy Message Detection (FMD) is a recent cryptographic
primitive invented by Beck et al. (CCS’21) where an untrusted server
performs coarse message filtering for its clients in a recipient-anonymous
way. In FMD — besides the true positive messages — the clients down-
load from the server their cover messages determined by their false-
positive detection rates. What is more, within FMD, the server cannot
distinguish between genuine and cover traffic. In this paper, we formally
analyze the privacy guarantees of FMD from three different angles.
First, we analyze three privacy provisions offered by FMD: recipient un-
linkability, relationship anonymity, and temporal detection ambiguity.
Second, we perform a differential privacy analysis and coin a relaxed defi-
nition to capture the privacy guarantees FMD yields. Finally, we simulate
FMD on real-world communication data. Our theoretical and empirical
results assist FMD users in adequately selecting their false-positive de-
tection rates for various applications with given privacy requirements.
Added by: Rucknium  Last edited by: Rucknium
Potentially useful for measuring effect of view tags on privacy.
Added by: Rucknium  Last edited by: Rucknium
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