VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization
cs.CR, cs.DB, cs.LG
Submitted: 2026-04-14
Updated: 2026-08-31
Comments: v2: revised after peer review. Evaluation expanded from 3 to 7 datasets, per-dataset Wasserstein-threshold calibration added, effect-size CIs and cross-dataset statistics reported, and analytical zk-SNARK/MPC/TEE baselines added. Minor errors corrected
Journal ref: Array 31 (2026) 101169
DOI: 10.1016/j.array.2026.101169
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
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