mseif2016 Goto Github PK

c3-sl

C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning (IEEE MLSP 2022)

crypto-schemes

cryptography-project

Three Different Types of Ciphers

cryptography-schemes

distvae

VAE for approximating distributions and estimating partition functions

dp-sparse

ece-princeton

femnist_pytorch

gcnn

github.io

gnn-attack-infmax

Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem

gnn-practical-attack

Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)

gnn_community

Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li

google-research

Google Research

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

https-github.com-wtimc-privacy-amplification-for-federated-learning-via-user-sampling-and-wireless

icml2020-exact-recovery-in-sbm

mind-neural-decoder

mseif1.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

oac-based-private-ensembles

privacy-amplification-by-subsampling-in-time-domain

private_objective_perturbation

pyepo

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pytorch_geometric

Graph Neural Network Library for PyTorch

sbm-meet-gnn

Implementation of SBM-meet-GNN

signsgd

Code for the signSGD paper

starter-hugo-academic

ua-ece-523-sp2018

wifi802.11ac