Privacy-Preserving-ML
Privacy-preservation SVM
Implementing an SVM model to make predictions on encrypted data while preserving the client's privacy
Implementation of privacy-preserving SVM assuming public model private data scenario
1 stars
3 watching
1 forks
Language: Jupyter Notebook
last commit: almost 2 years ago privacy-preserving-machine-learningsecure-mlsecure-svmsvm
Related projects:
| Repository | Description | Stars |
|---|---|---|
 shreya-28/secure-ml | Secure Linear Regression in the Semi-Honest Two-Party Setting. | 37 |
 tensorflow/privacy | A Python library for training machine learning models while preserving the privacy of sensitive data | 1,947 |
 privacytrustlab/ml_privacy_meter | An auditing tool to assess the privacy risks of machine learning models | 613 |
 zama-ai/concrete-ml | A framework for privacy-preserving machine learning using fully homomorphic encryption | 1,045 |
 eric-ai-lab/fedvln | An open-source implementation of a federated learning framework to protect data privacy in embodied agent learning for Vision-and-Language Navigation. | 13 |
 nikitavoloboev/privacy-respecting | A curated list of alternatives to data-intensive services | 1,960 |
 openmined/private-ai-resources | A curated collection of resources and libraries for secure machine learning research and development | 470 |
 pytorch/opacus | Enables training of neural networks with differential privacy | 1,730 |
 dcalab-unipv/turning-privacy-preserving-mechanisms-against-federated-learning | This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms. | 8 |
 sap-samples/machine-learning-diff-private-federated-learning | Simulates a federated learning setting to preserve individual data privacy | 365 |
 iamgroot42/mimir | A Python package for measuring memorization in Large Language Models. | 126 |
 blyssprivacy/sdk | An SDK for private data access using homomorphic encryption. | 339 |
 prashantsolanki3/secure-pref-manager | Protects Android Shared Preferences with encryption techniques | 71 |
 capeprivacy/cape-dataframes | A Python library for applying collaborative privacy policies to dataframes in Pandas and Apache Spark | 173 |
 facebookresearch/crypten | A framework for applying secure computing techniques to machine learning models without modifying the underlying frameworks. | 1,554 |