data-minimization

WORK ITEM: Repo for Data Minimization and selective disclosure

Local-first AI WAF, compliance gate, and cryptographic provenance engine for agentic workflows. Intercepts payloads, slashes token spend via Prose-Tax minimization, and mints tamper-evident audit chains on local silicon.

A simple data minimization and anonymization microservice wrapped around go-minimizer

Data minimization, pseudonymization, and anonymization helpers for Go

Contains all the code used and submitted for the indiviual assignments of the Data Protection Technologies (https://coursecatalogue.uva.nl/xmlpages/page/2023-2024-en/search-course/course/110258) as part of the MSc in Computer Science (Big Data Engineering track).

Source code of IJCB2024 paper "Controllable Privacy in Face Recognition: A Filter-based Approach"

Organizational Cognitive Telemetry (OCT) — a system for capturing sanitized AI interaction telemetry to identify cognitive friction, knowledge gaps, and usage patterns across an organization, without storing sensitive content or individual identities.

Client-side metadata minimisation for Miden private notes.

Export minimal debugging reports from Playwright traces with an explicit omission manifest.

A JavaScript client with a graphical user interface for Kalita, a text-to-speech software with a focus on data minimization and user privacy.

privacy.md — a privacy boundary for personal AI agents, enforced before the data leaves your machine. AGENTS.md tells an agent how to work; privacy.md tells it what it may send.

Data Prism is an open-source privacy layer for Java/Spring teams putting LLM agents or MCP clients in front of internal APIs holding customer data. It pseudonymises personal data per privacy scope, refuses anything unclassified, and can keep a hash-chained audit trail.

🛡️ The consent firewall for AI agents. Your agent can use the world's public data — the world can't use yours. Field-level minimization, in-flow consent, LLM tokenization, prompt-injection quarantine & hash-chained privacy receipts. MCP server included.

What happens when privacy law meets skewed data? A reproducible 960-run computational experiment measuring the joint effects of data minimization and class imbalance on ML performance and fairness. PhD dissertation research.

A Java speech synthesizer and backend server for Kalita, a text-to-speech software with a focus on data minimization and user privacy.

Offline proof of concept: coarse categorical incident postcards from 512-channel classical residual frames, with no raw-data sharing.

Decide whether an activity event may be retained and produce a minimized record under an explicit consent/retention policy.

Open Agent Privacy Protocol & Runtime for pseudonymization, data minimization, scoped re-identification and privacy-safe AI agent access.

Chain-agnostic protocol for W3C Verifiable Credentials with proof-of-concept implementations on Ethereum (Solidity) and IOTA (Move). Credentials are signed off-chain as JWTs, hashes anchored on-chain for tamper-proof verification and transparent revocation. Includes CLI, REST API, and web interface.

Multi-agent personal assistant on Claude with an AES-256-GCM vault: breach monitoring, flight search and household tracking, designed so secrets never reach the model