uvm-plaid / programming-dpLinks
☆328Updated last week
Alternatives and similar repositories for programming-dp
Users that are interested in programming-dp are comparing it to the libraries listed below
Sorting:
- Differential private machine learning☆195Updated 3 years ago
- Sample LDP implementation in Python☆128Updated 2 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆170Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆312Updated 2 years ago
- Paper notes and code for differentially private machine learning☆362Updated 2 months ago
- Useful tools for differential privacy☆218Updated 3 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆77Updated last week
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆91Updated 6 years ago
- Privacy Preserving Vertical Federated Learning☆219Updated 2 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆49Updated 2 years ago
- list of differential-privacy related resources☆318Updated 10 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆49Updated 2 years ago
- personal implementation of secure aggregation protocol☆45Updated last year
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆37Updated 2 months ago
- ☆89Updated 5 years ago
- Repository for collection of research papers on privacy.☆342Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆409Updated last year
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆25Updated 3 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆150Updated 8 months ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- ☆45Updated 4 years ago
- ☆176Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- DPSUR☆27Updated 9 months ago
- Repository for collection of research papers on multi-party learning.☆33Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆201Updated 4 years ago