vvv214 / LDP_Protocols
Sample LDP implementation in Python
☆125Updated last year
Alternatives and similar repositories for LDP_Protocols:
Users that are interested in LDP_Protocols are comparing it to the libraries listed below
- Useful tools for differential privacy☆215Updated 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
- ☆14Updated last month
- Differential private machine learning☆191Updated 3 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆163Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- An implementation of Deep Learning with Differential Privacy☆24Updated 2 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆47Updated last year
- Differential Privacy Preservation in Deep Learning under Model Attacks☆133Updated 3 years ago
- ☆33Updated 2 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Paper notes and code for differentially private machine learning☆355Updated 4 months ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆60Updated 3 years ago
- DPSUR☆26Updated 2 months ago
- Repository for the EDBT'23 paper "Frequency Estimation of Evolving Data Under Local Differential Privacy".☆12Updated last year
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 3 years ago
- ☆311Updated 2 months ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆13Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆131Updated 2 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆115Updated 6 months ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated 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
- Analytic calibration for differential privacy with Gaussian perturbations☆47Updated 6 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- GBDT learning + differential privacy. Standalone C++ implementation of "DPBoost" (Li et al.). There are further hardened & SGX versions o…☆8Updated 2 years ago
- Implementation of local differential privacy mechanisms in Python language.☆28Updated 2 years ago