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

GitHub

1 stars
3 watching
1 forks
Language: Jupyter Notebook
last commit: over 3 years ago
privacy-preserving-machine-learningsecure-mlsecure-svmsvm

Related projects:

RepositoryDescriptionStars
shreya-28/secure-mlSecure Linear Regression in the Semi-Honest Two-Party Setting.37
tensorflow/privacyA Python library for training machine learning models while preserving the privacy of sensitive data1,947
privacytrustlab/ml_privacy_meterAn auditing tool to assess the privacy risks of machine learning models613
zama-ai/concrete-mlA framework for privacy-preserving machine learning using fully homomorphic encryption1,045
eric-ai-lab/fedvlnAn open-source implementation of a federated learning framework to protect data privacy in embodied agent learning for Vision-and-Language Navigation.13
nikitavoloboev/privacy-respectingA curated list of alternatives to data-intensive services1,960
openmined/private-ai-resourcesA curated collection of resources and libraries for secure machine learning research and development470
pytorch/opacusEnables training of neural networks with differential privacy1,730
dcalab-unipv/turning-privacy-preserving-mechanisms-against-federated-learningThis project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms.8
sap-samples/machine-learning-diff-private-federated-learningSimulates a federated learning setting to preserve individual data privacy365
iamgroot42/mimirA Python package for measuring memorization in Large Language Models.126
blyssprivacy/sdkAn SDK for private data access using homomorphic encryption.339
prashantsolanki3/secure-pref-managerProtects Android Shared Preferences with encryption techniques71
capeprivacy/cape-dataframesA Python library for applying collaborative privacy policies to dataframes in Pandas and Apache Spark173
facebookresearch/cryptenA framework for applying secure computing techniques to machine learning models without modifying the underlying frameworks.1,554