Home › Entities › academia › Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack

Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack

Research article (Data Mining and Knowledge Discovery, 2024) · cited 10× · AI/ML
academia openalex:W4402190773
Press Enter · cited answer in seconds

Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack

Summary

Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack is a scholarly article[1].

Key Facts

  • Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack's instance of is recorded as scholarly article[2].

Related Entities

David Sánchez

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-disclosure-risk-of-anonymized-documents-via-a-machine-learning-based-re-identification-attack
MLA “Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-disclosure-risk-of-anonymized-documents-via-a-machine-learning-based-re-identification-attack.
BibTeX @misc{4ortxyz_evaluating-the-disclosure-risk-of-anonymized-documents-via-a-machine-learning-based-re-identification-attack_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-disclosure-risk-of-anonymized-documents-via-a-machine-learning-based-re-identification-attack}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the disclosure risk of anonymized documents via a machine learning-based re-identification attack — https://4ort.xyz/entity/evaluating-the-disclosure-risk-of-anonymized-documents-via-a-machine-learning-based-re-identification-attack (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/evaluating-the-disclosure-risk-of-anonymized-documents-via-a-machine-learning-based-re-identification-attack · Last refreshed: