privacy-preserving-machine-learning topic

Implementation of local differential privacy mechanisms in Python language.

hharcolezi

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

dilawarm

Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing pr...

JiangChSo

Similarity Guided Model Aggregation for Federated Learning

chamathpali

Advanced Privacy-Preserving Federated Learning framework

APPFL

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

sisaman

Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference

yamanalab

A library for statistically estimating the privacy of ML pipelines from membership inference attacks

microsoft

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

AlanPeng0897

A crypto-assisted framework for protecting the privacy of models and queries in inference.

Lucieno