fhstp / k-AnonMLLinks
☆20Updated last year
Alternatives and similar repositories for k-AnonML
Users that are interested in k-AnonML are comparing it to the libraries listed below
Sorting:
- Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy☆40Updated 6 years ago
- Sample LDP implementation in Python☆127Updated last year
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- Useful tools for differential privacy☆216Updated 2 years ago
- Anonymization methods for network security.☆158Updated 3 months ago
- ☆14Updated 3 months ago
- Paper Notes in MPC with Applications to PPML☆69Updated last year
- Python Implementation for Mondrian Multidimensional K-Anonymity (Mondrian).☆174Updated last year
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Updated 7 months ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆163Updated 2 years ago
- Evaluating variety of k-Anonymity techniques.☆54Updated last year
- An implementation of "Data Synthesis via Differentially Private Markov Random Fields"☆13Updated last year
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- GBDT learning + differential privacy. Standalone C++ implementation of "DPBoost" (Li et al.). There are further hardened & SGX versions o…☆8Updated 3 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- ☆9Updated 3 years ago
- Implementation of local differential privacy mechanisms in Python language.☆29Updated 2 years ago
- Differential private machine learning☆193Updated 3 years ago
- Code repository for the paper at USENIX Security'24☆28Updated 9 months ago
- ☆315Updated 4 months ago
- list of differential-privacy related resources☆311Updated 4 months ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Materials about Privacy-Preserving Machine Learning☆249Updated 3 months ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆13Updated 2 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆194Updated 7 years ago
- personal implementation of secure aggregation protocol☆46Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 5 years ago