LapisIT / differential_privacyLinks
QGIS differential privacy processing plugin
☆23Updated 9 years ago
Alternatives and similar repositories for differential_privacy
Users that are interested in differential_privacy are comparing it to the libraries listed below
Sorting:
- Sample LDP implementation in Python☆129Updated 2 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆76Updated 2 years ago
- Useful tools for differential privacy☆217Updated 3 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Differential private machine learning☆195Updated 3 years ago
- Code for NIPS'2017 paper☆51Updated 5 years ago
- ☆44Updated 4 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆49Updated 7 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Repository for collection of research papers on privacy.☆342Updated last year
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆15Updated 5 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- list of differential-privacy related resources☆315Updated 8 months ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Updated 11 months ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆46Updated 8 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- 关于2019和2018年的一些东西☆28Updated 5 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- Multiple Frequency Estimation Under Local Differential Privacy in Python☆49Updated 2 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 7 years ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆29Updated 5 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 5 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆48Updated 3 years ago
- Implementation of DataFly for K-anonymity, and implemented Laplace Mechanism and Exponential Mechanism for Differential Privacy☆40Updated 6 years ago
- ☆14Updated 7 months ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆197Updated 7 years ago