hharcolezi / LOLOHA
Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".
☆12Updated last year
Alternatives and similar repositories for LOLOHA:
Users that are interested in LOLOHA are comparing it to the libraries listed below
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- An implementation of Deep Learning with Differential Privacy☆24Updated 2 years ago
- Sample LDP implementation in Python☆125Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- 本项目实现自《差分隐私下满足一致性的轨迹流量发布方法》,作者蔡剑平☆12Updated 5 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆64Updated 3 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆115Updated 6 months ago
- Python implementation of differential privacy using Laplace mechanism☆11Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆60Updated 3 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆47Updated last year
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 3 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated last month
- 建立基于差分隐私的贝叶斯网络,使得结构化数据同时兼备隐私性与效用性☆28Updated 4 years ago
- ☆33Updated 2 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated last year
- DPSUR☆26Updated 2 months ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆27Updated 2 months ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆142Updated 2 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆21Updated 4 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆19Updated 2 years ago