haiphanNJIT / PrivateDeepLearningLinks
Differential Privacy Preservation in Deep Learning under Model Attacks
☆135Updated 4 years ago
Alternatives and similar repositories for PrivateDeepLearning
Users that are interested in PrivateDeepLearning are comparing it to the libraries listed below
Sorting:
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Differential private machine learning☆194Updated 3 years ago
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- Code for NIPS'2017 paper☆51Updated 5 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Simulate a federated setting and run differentially private federated learning.☆383Updated 5 months ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆301Updated last year
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- Analytic calibration for differential privacy with Gaussian perturbations☆48Updated 6 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆193Updated 7 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- An implementation of Deep Learning with Differential Privacy☆25Updated 2 years ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆186Updated 5 years ago
- Sample LDP implementation in Python☆129Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- A library for running membership inference attacks against ML models☆149Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆54Updated 6 years ago
- Useful tools for differential privacy☆216Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆105Updated last year
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆40Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆304Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 5 years ago
- ☆72Updated last year
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago