arxiv
PublishedOctober 22, 2026 at 4:00 AM
Protecting De-identified Documents from Search-based Linkage Attacks
Publisher summary· verbatim
arXiv:2510.06383v3 Announce Type: replace Abstract: While de-identification models can help conceal the identity of the individuals mentioned in a document, they fail to address linkage risks, defined as the potential to map the de-identified text back to its source. One straightforward way to perfo
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivHow to Use Parallel Data for Multilingual Pretraining5harxivKIRA: A Full-Stack Reading Screening System with Dual-Pathway Analysis for Children5harxivBuilding AI Research Teams for Autonomous Discovery of Linear Attention Architectures5harxivCSD: Common-Support Distillation for Cross-Tokenizer Knowledge Transfer5hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗