Anonymization methods for network security.
☆165Mar 2, 2025Updated last year
Alternatives and similar repositories for K-Anonymity
Users that are interested in K-Anonymity are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆176Nov 30, 2023Updated 2 years ago
- pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.☆52Updated this week
- k匿名☆19May 12, 2021Updated 4 years ago
- The raw mondrian is designed for numerical attributes. When comes to categorical attributes, Mondrian needs to transform categorical attr…☆36Apr 27, 2023Updated 2 years ago
- Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy☆40Feb 28, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization…☆709Oct 1, 2025Updated 6 months ago
- Diffprivlib: The IBM Differential Privacy Library☆911Sep 17, 2025Updated 6 months ago
- Collection of all the papers talking about/relevant to the topic of privacy-preserving LLMs☆42Feb 10, 2025Updated last year
- Location Privacy Protection System Based on K-Anonymous☆25Mar 26, 2017Updated 9 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 years ago
- A workshop on data privacy methods for data scientists.☆73Aug 23, 2022Updated 3 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Jun 12, 2020Updated 5 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆547Mar 27, 2026Updated 2 weeks ago
- Useful tools for differential privacy☆219Sep 11, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆20Feb 29, 2024Updated 2 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆49Aug 30, 2022Updated 3 years ago
- Google's differential privacy libraries.☆3,302Updated this week
- Bridge between TensorFlow and the Microsoft SEAL homomorphic encryption library☆95Jan 22, 2020Updated 6 years ago
- ☆24Dec 15, 2018Updated 7 years ago
- Source code for the Joint Shapley values: a measure of joint feature importance☆12Sep 14, 2021Updated 4 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- Python language bindings for smartnoise-core.☆76Mar 13, 2023Updated 3 years ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23May 25, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A compiled list of resources and materials for PPML☆11May 10, 2025Updated 11 months ago
- A hands-on tutorial showing how to use Python to do anonymisation with synthetic data☆81Apr 14, 2022Updated 4 years ago
- Code samples and documentation for SmartNoise differential privacy tools☆134Jun 22, 2022Updated 3 years ago
- PATRIOTIC - Pervasive Anti-Tampering and Anti-Repackaging for IoT for Integrated C-based Firmware☆10Jan 26, 2023Updated 3 years ago
- ☆274Apr 3, 2024Updated 2 years ago
- RAPPOR: Privacy-Preserving Reporting Algorithms☆870Jul 14, 2022Updated 3 years ago
- A Unified Framework for Quantifying Privacy Risk in Synthetic Data according to the GDPR☆100Updated this week
- A curated list of awesome resources for creating synthetic data☆45Feb 16, 2022Updated 4 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Jul 3, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆706Apr 26, 2025Updated 11 months ago
- Datasette enrichment for analyzing row data using OpenAI's GPT models☆22May 15, 2024Updated last year
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆16Sep 18, 2020Updated 5 years ago
- 致力于多因子，AI策略，可盈利模型的研究☆12Apr 14, 2023Updated 3 years ago
- The project will serve as a central repository for VMware Threat Analysis Unit (TAU) to share threat intelligence with the security commu…☆17Mar 25, 2023Updated 3 years ago
- I use TVP-VAR methodology with a stochastic volatility model to investigate the forecasting performance on macroeconomic variables. In pa…☆10Nov 17, 2019Updated 6 years ago
- TVP VAR Workshop☆14Feb 26, 2020Updated 6 years ago