anonym.plus SD2 IRREVERSIBILITY
Case Study 13 of 30

A Formal Model for Integrating Consent Management Into MLOps

Neda Peyrone, Duangdao Wichadakul · IEEE Access (2024)

Research Source

A Formal Model for Integrating Consent Management Into MLOps
Neda Peyrone, Duangdao Wichadakul · IEEE Access · 2024 · Source: doaj

In the artificial intelligence (AI) era, data has become increasingly essential for learning and analysis. AI enables automated decision-making that may lead to violation of the General Data Protection Regulation (GDPR). The GDPR is the data protection law within the European Union (EU) that allows individuals (‘data subjects’) to control their personal data.

Executive Summary

This research paper examines a critical privacy challenge related to IRREVERSIBILITY — once pii propagates, it cannot be un-propagated.

anonym.plus addresses this through 100% local processing with AES-256-GCM encrypted vault — PII processed and stored locally, never touching any external server.

Root Cause: SD2 — IRREVERSIBILITY

Once PII propagates, it cannot be un-propagated. The arrow of data only points one direction. PII exposure is a one-way function with no inverse.

Irreducible truth: Information entropy only increases. You cannot recall a broadcast signal. You cannot un-train a neural network. You cannot selectively erase a backup tape. Every deletion mechanism is an approximation — and the original exposure persists.

The Solution: How anonym.plus Addresses This

Detection Capabilities

anonym.plus identifies 200+ entity types including names, email addresses, advertising IDs, device identifiers, behavioral profiles. The local Presidio 2.2.357 + spaCy 3.8.11 architecture uses Presidio 2.2.357 deterministic recognizers with 121 built-in presets for structured identifiers and spaCy 3.8.11 with 23 language models, all running locally via FastAPI sidecar for contextual references.

Anonymization Methods

Redact is recommended for this pain point: anonymizing PII before sharing with third parties prevents propagation that makes recall impossible. Replace provides an alternative — substituting identifiers before third-party sharing maintains data utility while preventing individual tracking. For scenarios requiring reversibility, Encrypt (AES-256-GCM) enables authorized recovery of original values.

Architecture & Deployment

The local sidecar REST API (port 5002-5003) provides programmatic access to Presidio detection for local development workflow integration.

Compliance Mapping

This pain point intersects with GDPR Article 28 processor obligations, Article 44 transfer restrictions.

anonym.plus’s GDPR (data never leaves device), HIPAA (local processing) compliance coverage, combined with 100% local — data never leaves device hosting, provides documented technical measures organizations can reference in their compliance documentation and regulatory submissions.

Product Specifications

Specification Value
App Version v8.10.5
Entity Types 200+ built-in, up to 50 custom
Detection Engine Presidio 2.2.357 + spaCy 3.8.11 (23 models)
Languages 48 UI, 23 NLP models
Document Formats PDF, DOCX, XLSX, TXT, CSV, JSON, XML + Image OCR
Anonymization Methods Replace, Redact, Mask, Hash (SHA-256/512/MD5), Encrypt (AES-256-GCM)
Architecture Tauri 2.x (Rust + React) + FastAPI sidecar (~370 MB)
Platforms Win/Mac/Linux
Licensing Ed25519 signed, machine-fingerprinted, max 5 machines
Processing 100% local — data never leaves device
Compliance GDPR, HIPAA (data residency guaranteed by local processing)

Research Limitations

Academic Scope: This summary reflects findings from the original academic research paper. Implementation contexts, regulatory landscapes, and technical capabilities may have evolved since publication. Readers should verify current best practices and compliance requirements in their jurisdiction.

Generalizability: Research findings may be specific to the studied populations, geographic regions, or technical environments described in the original paper. Organizations should evaluate applicability to their specific use case before adopting recommendations.

Not a Substitute for Legal/Compliance Advice: This research summary is provided for informational and educational purposes only. It does not constitute legal, compliance, or professional consulting advice. Consult qualified privacy counsel for GDPR, HIPAA, CCPA, or other regulatory compliance guidance.