sisaman / LDP-mechanismsLinks
PyTorch implementation of a number of mechanisms in local differential privacy
☆17Updated 3 years ago
Alternatives and similar repositories for LDP-mechanisms
Users that are interested in LDP-mechanisms are comparing it to the libraries listed below
Sorting:
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Local Differential Privacy for Federated Learning☆19Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Sample LDP implementation in Python☆128Updated 2 years ago
- Differential private machine learning☆198Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 5 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 paper "Bayesian Differential Privacy for Machine Learning"☆23Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆172Updated 3 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆78Updated last month
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆43Updated last year
- Useful tools for differential privacy☆219Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- DPSUR☆27Updated 11 months ago
- Implementation of dp-based federated learning framework using PyTorch☆314Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Code for CCS '23 paper "Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation"☆15Updated 2 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆26Updated 9 months ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆53Updated 2 years ago
- ☆35Updated 3 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 3 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆87Updated 2 years ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆21Updated 2 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆49Updated 2 years ago