{ "id": "SD1-05-towards-formalizing-the-gdprs-notion-of-singling-out", "type": "case-study", "title": "Towards formalizing the GDPR's notion of singling out.", "description": "Research-backed case study: Towards formalizing the GDPR's notion of singling out.. Analysis of LINKABILITY structural driver and how anonym.legal…", "url": "https://anonym.community/anonym.legal/SD1-05-towards-formalizing-the-gdprs-notion-of-singling-out.html", "product": "anonym.legal", "driver": { "id": 1, "name": "LINKABILITY" }, "breadcrumbs": [ { "label": "Dashboard", "url": "https://anonym.community/../dashboard.html" }, { "label": "Structural Analysis", "url": "https://anonym.community/../structural-analysis.html" }, { "label": "anonym.legal", "url": "https://anonym.community/index.html" }, { "label": "SD1 LINKABILITY", "url": "https://anonym.community/index.html#SD1" } ], "content": { "sections": [ { "type": "summary", "heading": "Research Source", "content": "Cohen, Aloni, Nissim, Kobbi · Proceedings of the National Academy of Sciences of the United States of America · 2020-03-31 · Source: pubmed\n\nThere is a significant conceptual gap between legal and mathematical thinking around data privacy. The effect is uncertainty as to which technical offerings meet legal standards. This uncertainty is exacerbated by a litany of successful privacy attacks demonstrating that traditional statistical disclosure limitation techniques often fall short of the privacy envisioned by regulators." }, { "type": "summary", "heading": "Executive Summary", "content": "This research paper examines a critical privacy challenge related to LINKABILITY — the ability to connect two pieces of information to the same person.\n\nanonym.legal addresses this through 260+ entity types with 3-layer hybrid detection accessible via 6 platforms including Chrome Extension for real-time browser anonymization." }, { "type": "problem", "heading": "Root Cause: SD1 — LINKABILITY", "content": "The ability to connect two pieces of information to the same person. This is the foundational operation that makes PII dangerous. Nearly every pain point is an expression of linkability being created, exploited, or failing to be broken.\n\nIrreducible truth: You cannot have useful data that is completely unlinkable AND completely useful. The very features that make data informative make it linkable. This is not a bug — it is information theory. The information content of a dataset and its linkability are the same property measured differently.", "atomicTruth": "Irreducible truth: You cannot have useful data that is completely unlinkable AND completely useful. The very features that make data informative make it linkable. This is not a bug — it is information theory. The information content of a dataset and its linkability are the same property measured differently." }, { "type": "solution", "heading": "The Solution: How anonym.legal Addresses This", "content": "anonym.legal identifies 260+ entity types including names, email addresses, phone numbers, social media handles, organizational affiliations. The 3-layer hybrid (Presidio + NLP + Stance classification) architecture uses Microsoft Presidio deterministic rules with checksum validations (Luhn, RFC-822) for structured identifiers and XLM-RoBERTa + Stanza NER with Stance classification for disambiguation for contextual references.\n\nRedact is recommended for this pain point: removing contact identifiers from documents prevents construction of social graphs from document collections. Replace provides an alternative — substituting names and identifiers with type labels preserves document structure while breaking the social graph. For scenarios requiring reversibility, Encrypt (AES-256-GCM) enables authorized recovery of original values.\n\nThe Desktop App (Windows 10+, macOS 10.15+, Ubuntu 20.04+) processes files locally with encrypted vault storage (AES-256-GCM). Files never uploaded — only extracted text is processed." }, { "type": "compliance", "heading": "Compliance Mapping", "content": "This pain point intersects with GDPR Article 5(1)(c) data minimization, Article 25 data protection by design.\n\nanonym.legal’s GDPR, HIPAA, PCI-DSS, ISO 27001 compliance coverage, combined with Hetzner Germany, ISO 27001 certified hosting, provides documented technical measures organizations can reference in their compliance documentation and regulatory submissions." }, { "type": "specifications", "heading": "Product Specifications", "specs": { "Platform Version": "v7.4.4", "Entity Types": "260+", "Detection Layers": "3-layer: Presidio + NLP + Stance classification", "Accuracy": "95.5% tested (42/44 tests)", "Languages": "48", "Anonymization Methods": "Replace, Redact, Mask, Hash (SHA-256/512/MD5), Encrypt (AES-256-GCM)", "Platforms": "Web App, Desktop, Office Add-in, MCP Server, Chrome Extension, REST API", "Pricing": "Free €0, Basic €3, Pro €15, Business €29", "Hosting": "Hetzner Germany, ISO 27001", "Compliance": "GDPR, HIPAA, PCI-DSS, ISO 27001" } } ] }, "relatedLinks": [ { "label": "SD1-01: TÉCNICAS PARA ANONIMIZAR DADOS SENSÍVEIS EM SISTEMAS DE INFORMAÇÃO", "url": "SD1-01-tcnicas-para-anonimizar-dados-sensveis-em-sistemas-de-inform.html" }, { "label": "SD1-02: Autononym: Multimodal Anonymization of Health Data using Named Entity Recognition and Structured Medical Data Processing", "url": "SD1-02-autononym-multimodal-anonymization-of-health-data-using-name.html" }, { "label": "SD1-03: OpenAIRE webinar - Amnesia: High-accuracy Data Anonymization", "url": "SD1-03-openaire-webinar-amnesia-high-accuracy-data-anonymization.html" }, { "label": "SD1-04: Anonymizing Machine Learning Models", "url": "SD1-04-anonymizing-machine-learning-models.html" }, { "label": "SD1-06: From t-closeness to differential privacy and vice versa in data anonymization", "url": "SD1-06-from-t-closeness-to-differential-privacy-and-vice-versa-in-d.html" }, { "label": "SD1-07: A Survey on Current Trends and Recent Advances in Text Anonymization", "url": "SD1-07-a-survey-on-current-trends-and-recent-advances-in-text-anony.html" }, { "label": "SD1-08: Reconsidering Anonymization-Related Concepts and the Term “Identification” Against the Backdrop of the European Legal Framework", "url": "SD1-08-reconsidering-anonymization-related-concepts-and-the-term-id.html" }, { "label": "SD1-09: The lawfulness of re-identification under data protection law", "url": "SD1-09-the-lawfulness-of-re-identification-under-data-protection-la.html" }, { "label": "SD1-10: Blinded Anonymization: a method for evaluating cancer prevention programs under restrictive data protection regulations", "url": "SD1-10-blinded-anonymization-a-method-for-evaluating-cancer-prevent.html" }, { "label": "anonymize.solutions", "url": "../anonymize.solutions/SD1-05-towards-formalizing-the-gdprs-notion-of-singling-out.html" }, { "label": "cloak.business", "url": "../cloak.business/SD1-05-towards-formalizing-the-gdprs-notion-of-singling-out.html" }, { "label": "anonym.plus", "url": "../anonym.plus/SD1-05-towards-formalizing-the-gdprs-notion-of-singling-out.html" }, { "label": "Download SD1 LINKABILITY PDF (all 10 case studies)", "url": "#" }, { "label": "Back to anonym.legal Index", "url": "index.html" }, { "label": "Structural Analysis", "url": "../structural-analysis.html" }, { "label": "Cross-Domain Analysis", "url": "../structural-analysis.html" }, { "label": "Dashboard", "url": "../dashboard.html" } ], "metadata": { "lastModified": "2026-03-14" } }