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).

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.

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.

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.

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.

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.

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.

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 self-hosted program container for cohort-based learning.