git-disl / CLDP
Secure and utility-aware data collection with condensed local differential privacy
☆17Updated 5 years ago
Alternatives and similar repositories for CLDP:
Users that are interested in CLDP are comparing it to the libraries listed below
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Updated 3 years ago
- An implementation of Deep Learning with Differential Privacy☆24Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Sample LDP implementation in Python☆125Updated last year
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- ☆17Updated 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
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Useful tools for differential privacy☆216Updated 2 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- Python implementation of differential privacy using Laplace mechanism☆11Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆117Updated 7 months ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆45Updated last year
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated last year
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆45Updated 8 years ago
- 使用tensorflow2.1实现联合学习推荐模型,并加入差分隐私噪声进行隐私保护。☆54Updated 2 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated last month
- Differential Privacy Preservation in Deep Learning under Model Attacks☆134Updated 4 years ago
- Differential private machine learning☆191Updated 3 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆163Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆65Updated 3 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆13Updated 2 years ago