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.

Data minimization, pseudonymization, and anonymization helpers for Go

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

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).

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.

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

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

Synthetic test data that's fake by design: every value cited to a source that's reserved — or built — to be never-real. Anonymous from the start, not scrubbed after the fact, and tamper-evident, so you can prove it.

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

2026 AI Co-Scientist Challenge Korea(AI 연구 동료 경진대회) /Reproducible experiment code for the AI Co-Scientist Challenge 2026.

Privacy engineering suite — nine Claude Code skills plus a citation-backed regulatory taxonomy across 26 jurisdictions, bridged by a statutory dissolution map. Compliance is a floor; selective disclosure is the ceiling.

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.

An implementation of Privacy-Preserving Identity Verification using zk-SNARKs. Leverages Groth16 pairings and arithmetic circuits (Circom) to prove identity claims without revealing underlying PII, coupled with an immutable On-Chain Audit Trail for forensic non-repudiation.

GCC e-commerce PII governance portfolio covering customer-data retention, marketing consent, advertising, DSAR, test-data exposure and disposal risk using synthetic data, Excel dashboards and representative privacy controls.

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

VMD Core Engine – reference implementation of Verifiable Minimal Disclosure (VMD) for privacy-first, query-based verification.

A self-hosted program container for cohort-based learning.