arXiv (All)
open access
VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization
Organisations increasingly outsource privacy-sensitive data transformations to cloud providers, yet no practical mechanism lets the data owner verify that the contracted algorithm was faithfully executed. VeriX-Anon is a multi-layered verification framework for outsourced Target-Driven k-anonymizati
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Affinity-Based Algorithmic Pricing: A Dilemma for EU Data Protection Law#461830
- Affinity-based algorithmic pricing: A dilemma for EU data protection law#461666
- Contextual Integrity and EU Data Protection Law: Towards a More Informed and Transparent Analysis#461754
- A-COMPASS: Formal Foundations for Anonymity Analysis in Microdata#290515
- Zero Trust and AI in Cloud Environments: Securing Autonomous Agents and Modern WorkloadsWhitepaperArtificial Intelligence, Cloud Security15 Sep 2026Dave Shackleford, Dr. Anton Chuvakin#928422
Record · ID 800003
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive