npapernot / multiple-teachers-for-privacy
This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/1610.05755
☆10Updated 7 years ago
Related projects: ⓘ
- Fork of the differential privacy module of TF/models/research☆14Updated 4 years ago
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆19Updated 3 years ago
- The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…☆32Updated 3 years ago
- Federated Machine Learning Using MLP☆10Updated 7 years ago
- Machine Learning with SPDZ☆19Updated 6 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆75Updated last month
- Benchmark and comparison of secure Deep Learning platforms: TF Privacy, PySyft and TF-Encrypted☆10Updated 3 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆33Updated 5 years ago
- A concise primer on Differential Privacy☆28Updated 4 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- distributed federated learning for pytorch☆15Updated 6 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆9Updated 5 years ago
- ☆17Updated this week
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- A curated list of resources for privacy-preserving machine learning☆146Updated 2 years ago
- Code for 'One Neuron to Fool Them All'☆8Updated 4 years ago
- Privacy-Preserving Bandits (MLSys'20)☆22Updated last year
- Library and experiments for attacking machine learning in discrete domains☆45Updated last year
- Code for the Adversarial Image Detectors and a Saliency Map☆12Updated 7 years ago
- A general method for training cost-sensitive robust classifier☆21Updated 5 years ago
- Related material on Federated Learning☆27Updated 4 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 7 years ago
- Secure collaborative training and inference for XGBoost.☆105Updated last year
- ☆15Updated 6 years ago
- reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch☆16Updated 6 years ago
- Parallel SGD, done locally and remote☆15Updated 8 years ago
- A challenge to investigate the security of the InstaHide protocol.☆12Updated 3 years ago
- Research prototype of deletion efficient k-means algorithms☆22Updated 4 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated 5 months ago