hharcolezi / LOLOHALinks
Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".
☆12Updated 2 years ago
Alternatives and similar repositories for LOLOHA
Users that are interested in LOLOHA are comparing it to the libraries listed below
Sorting:
- Sample LDP implementation in Python☆128Updated 2 years ago
- Useful tools for differential privacy☆219Updated 3 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Differential private machine learning☆196Updated 3 years ago
- An implementation of Deep Learning with Differential Privacy☆26Updated 2 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆171Updated 3 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆49Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆313Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- Paper notes and code for differentially private machine learning☆367Updated 3 months 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
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆25Updated 3 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Updated 7 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆92Updated 6 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆42Updated last year
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Updated 4 years ago
- personal implementation of secure aggregation protocol☆47Updated last year
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆15Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago