SKALD aggregates per-chunk equivalence-class histograms to perform k-anonymisation with a global view under limited RAM, reporting substantially lower DM* information loss than per-chunk ARX on synthetic data.
The 2010 Census Confidentiality Protections Failed, Here’s How and Why,
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SKALD: Scalable K-Anonymisation for Large Datasets
SKALD aggregates per-chunk equivalence-class histograms to perform k-anonymisation with a global view under limited RAM, reporting substantially lower DM* information loss than per-chunk ARX on synthetic data.