9 skills found
OpenMined / PyVerticalPrivacy Preserving Vertical Federated Learning
pasquini-dario / SplitNN FSHAPrivacy attacks on Split Learning
Koukyosyumei / Attack SplitNNreveal the vulnerabilities of SplitNN
abbas5253 / SplitNN For Vertically Partitioned DataIntegration of SplitNN for vertically partitioned data with OpenMined's PySyft
TTitcombe / Model Inversion SplitNNResearch into model inversion on SplitNN
TTitcombe / NoPeekNNPyTorch implementation of NoPeekNN
zhxchd / SDAR SplitNNCode for NDSS '25 paper "Passive Inference Attacks on Split Learning via Adversarial Regularization"
zlijingtao / SplitNN FSHA Torchpytorch Version of SplitNN_FSHA
akgo1998 / Privacy Preservation SplitNNThis project aims to develop a method for privacy preservation of images in distributed deep learning applications. By modifying the loss function in a Split-NN based classification problem, we are able to study the trade-off we need to achieve to protect the privacy of input data versus the accuracy of the classifier.
