uvm-plaid / programming-dp
☆305Updated 3 weeks ago
Alternatives and similar repositories for programming-dp:
Users that are interested in programming-dp are comparing it to the libraries listed below
- Implementation of dp-based federated learning framework using PyTorch☆291Updated last year
- Differential private machine learning☆189Updated 3 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆161Updated 2 years ago
- Paper notes and code for differentially private machine learning☆344Updated 2 months ago
- Sample LDP implementation in Python☆122Updated last year
- Useful tools for differential privacy☆214Updated 2 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆73Updated last year
- ☆172Updated 3 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆368Updated 3 months ago
- A ledger for private and secure peer to peer machine learning☆107Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆130Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆270Updated last year
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆42Updated last year
- ☆33Updated 2 years ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆82Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆110Updated 4 months ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆83Updated 5 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆180Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆139Updated this week
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆140Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆287Updated 6 months ago
- DPSUR☆23Updated 3 weeks ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 4 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆113Updated last month
- Repository for collection of research papers on privacy.☆341Updated 7 months ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 6 years ago