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Reversible Pseudonymisation of Documents Sent to External LLMs: an Open Bilingual Benchmark and an Engine
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers released an open bilingual benchmark and engine for reversible document pseudonymisation before sending data to external LLMs.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 27 October 2026
- Collected by OneBench
- 28 Oct 2026, 02:01 UK
Stored source excerpt
arXiv:2610.34012v1 Announce Type: new Abstract: Professionals send working documents to external large language models. A common safeguard is reversible pseudonymisation: personal data are replaced with…
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