yangcao888 / TPL
Quantifying Differential Privacy under Temporal Correlations
☆12Updated last year
Alternatives and similar repositories for TPL:
Users that are interested in TPL are comparing it to the libraries listed below
- ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy☆10Updated 6 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆24Updated 6 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16☆45Updated 8 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 4 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
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions☆14Updated 4 years ago
- Useful tools for differential privacy☆215Updated 2 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆46Updated 6 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
- Differential private machine learning☆191Updated 3 years ago
- Sample LDP implementation in Python☆125Updated last year
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 3 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆133Updated 3 years ago
- ☆33Updated 2 years ago
- Python implementation of differential privacy using Laplace mechanism☆11Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 4 years ago
- Code for NIPS'2017 paper☆50Updated 4 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Updated 3 years ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆29Updated 4 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated 11 months ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆164Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆103Updated last year
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆13Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆84Updated 5 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆131Updated 2 years ago