uvm-plaid / programming-dpLinks
☆315Updated last month
Alternatives and similar repositories for programming-dp
Users that are interested in programming-dp are comparing it to the libraries listed below
Sorting:
- Sample LDP implementation in Python☆129Updated 2 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- Differential private machine learning☆194Updated 3 years ago
- Paper notes and code for differentially private machine learning☆356Updated 9 months ago
- Implementation of dp-based federated learning framework using PyTorch☆304Updated 2 years ago
- Useful tools for differential privacy☆216Updated 2 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- list of differential-privacy related resources☆313Updated 7 months ago
- personal implementation of secure aggregation protocol☆46Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆126Updated 10 months ago
- Repository for collection of research papers on privacy.☆341Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆143Updated 6 months ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- A sybil-resilient distributed learning protocol.☆105Updated last year
- ☆88Updated 5 years ago
- ☆174Updated 10 months ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆48Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆197Updated 4 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆397Updated 9 months ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆40Updated last year
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆301Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago