haiphanNJIT / PrivateDeepLearning
Differential Privacy Preservation in Deep Learning under Model Attacks
☆133Updated 3 years ago
Alternatives and similar repositories for PrivateDeepLearning:
Users that are interested in PrivateDeepLearning are comparing it to the libraries listed below
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆131Updated 2 years ago
- Code for NIPS'2017 paper☆50Updated 4 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 4 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Differential private machine learning☆191Updated 3 years ago
- An implementation of Deep Learning with Differential Privacy☆24Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆32Updated 3 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆273Updated last year
- A library for running membership inference attacks against ML models☆142Updated 2 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 3 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆46Updated 6 years ago
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆83Updated 5 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
- Differentially Private Optimization for PyTorch 👁🙅♀️☆184Updated 4 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- Repository for Federated Learning with Differential Privacy☆11Updated 2 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆194Updated 7 years ago
- ☆15Updated 5 years ago
- This repo implements several algorithms for learning with differential privacy.☆106Updated 2 years ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆29Updated 4 years ago
- A sybil-resilient distributed learning protocol.☆101Updated last year
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆43Updated 3 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 4 years ago
- Useful tools for differential privacy☆215Updated 2 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago