npapernot / multiple-teachers-for-privacyLinks
This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/1610.05755
☆10Updated 8 years ago
Alternatives and similar repositories for multiple-teachers-for-privacy
Users that are interested in multiple-teachers-for-privacy are comparing it to the libraries listed below
Sorting:
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆20Updated 3 years ago
- Federated Machine Learning Using MLP☆10Updated 8 years ago
- Fork of the differential privacy module of TF/models/research☆14Updated 5 years ago
- Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks☆76Updated last year
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 5 years ago
- distributed federated learning for pytorch☆15Updated 7 years ago
- A concise primer on Differential Privacy☆29Updated 5 years ago
- Implementation of model described in 'Learning to Protect Communications with Adversarial Neural Cryptography' (Martín Abadi & David G. A…☆46Updated 8 years ago
- The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…☆33Updated 3 years ago
- Tensor Based Environment Framework for Training RL Agents - Pre Alpha☆8Updated 5 years ago
- VectorDefense: Vectorization as a Defense to Adversarial Examples --->☆13Updated 7 years ago
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆34Updated 6 years ago
- Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining life…☆11Updated 5 years ago
- Dual Path Networks on cifar-10 and fashion-mnist datasets☆18Updated 7 years ago
- Plausible looking adversarial examples for text classification☆93Updated 6 years ago
- Active learning for deep learning☆19Updated 6 years ago
- Benchmark and comparison of secure Deep Learning platforms: TF Privacy, PySyft and TF-Encrypted☆10Updated 4 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- ☆11Updated 5 years ago
- Deep Emotion Analysis with Elastic and PyTorch☆16Updated 6 years ago
- Naive implementation of basic Differential-Privacy framework and algorithms☆8Updated 6 years ago
- TensorFlow implementation of CipherGAN☆122Updated 2 years ago
- Various material around private machine learning, some associated with blog☆149Updated 5 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- A general method for training cost-sensitive robust classifier☆22Updated 6 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆68Updated 11 years ago
- Privacy-preserving generative deep neural networks support clinical data sharing☆106Updated 6 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 5 years ago
- Arxiv's ML papers network graph and browser☆80Updated 6 years ago