Shubha23 / Laplace-and-Exponential-mechanisms-for-privacy
Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.
☆29Updated 4 years ago
Alternatives and similar repositories for Laplace-and-Exponential-mechanisms-for-privacy:
Users that are interested in Laplace-and-Exponential-mechanisms-for-privacy are comparing it to the libraries listed below
- Python implementation of differential privacy using Laplace mechanism☆11Updated 2 years ago
- Accompanying source code to my Bachelor's thesis at TUHH☆11Updated 7 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆133Updated 3 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 4 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 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
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 3 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
- Differential private machine learning☆191Updated 3 years ago
- PyTorch implementation of a number of mechanisms in local differential privacy☆17Updated 3 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Sample LDP implementation in Python☆125Updated last year
- Useful tools for differential privacy☆215Updated 2 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆111Updated 5 months ago
- An implementation of Deep Learning with Differential Privacy☆24Updated 2 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆48Updated 2 years ago
- Implementation of local differential privacy mechanisms in Python language.☆28Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- 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
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆60Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆68Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 4 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆84Updated 5 years ago
- Implementation of "PrivGraph: Differentially Private Graph Data Publication by Exploiting Community Information"☆13Updated 2 years ago
- DPSUR☆26Updated 2 months ago
- 使用tensorflow2.1实现联合学习推荐模型,并加入差分隐私噪声进行隐私保护。☆52Updated 2 years ago