#Data-privacy
Showing 25 of 25 repositories tagged #data-privacy, ranked by stars
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Agent-ready RPA suite with out-of-the-box automation tools. Built for individuals and enterprises.
Diffprivlib: The IBM Differential Privacy Library
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Claude Skills for Governance, Risk, & Compliance (GRC): Expert-level compliance guidance for ISO 27001, SOC 2, FedRAMP, GDPR, HIPAA, NIST CSF, PCI DSS, EU AI Act, ISO 42001, ISO 27701, DORA, CSRD, India's DPDPA, CMMC 2.0, NIST AI Risk, SWIFT, Australia's ISM, EU NIS2, CCPA/CPRA, and others. Benchmark 97% (with skills) vs 81% (without skills).
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
The Privacy Engineering & Compliance Framework
Filter sensitive information from free text before sending it to external services or APIs, such as chatbots and LLMs.
An easy-to-use federated learning platform
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.
A permissionless blockchain network to manage digital identity and access rights
A curated list of data privacy and security resources
JSON to mindmap, Yaml to MindMap - Visualize your Configuration files as mindmap with search and export features
A workshop on data privacy methods for data scientists.
An Activist Grade Privacy & Security App that provides multi-layered defense by isolating data within encrypted sandbox, inaccessible to other apps, the OS, or unauthorized physical extraction - With the Belief "Privacy Without the Tradeoff of Ease"
[ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
Ready-to-run examples showing NoPII PII protection with OpenAI, Anthropic, LangChain, LlamaIndex, and more
Zero trace. Full answer. — Transparent Claude API proxy that anonymizes PII and sensitive data before it leaves your environment. From pentesters, to pentesters.
pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.
Python CLI tool to redact and un-redact sensitive data from text files. 🔐📝
ANJANA is a Python library for anonymizing sensitive data
Test Data Generation
A decentralized healthcare record management system ensuring privacy, transparency, and secure patient data sharing across hospitals and users.
High-speed PII masking as a Polars plugin — powered by Rust
Semantic Privacy Guard: A Java middleware that intercepts text, identifies PII using a three-layer hybrid pipeline (Regex + Naive Bayes ML + Apache OpenNLP NER), and redacts it before it reaches an LLM or leaves the corporate network — with stream-based processing for memory-efficient handling of large files and log streams.