matbambbang

pgd_adversarial_training

Adversarial training with PGD adversarial examples

sspnet

Official implementation of the paper "Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods", ECCV 2020.

siamese-networks-omniglot-pytorch

Implementation of Siamese Networks using PyTorch

margin-based-watermarking

The source codes of the paper 'Margin-based Neural Network Watermarking'

PageRank_python

Implementation of PageRank, Topic-sensitive PageRank in Python.

CMU-Studio-Project-prac

acad-homepage.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

byzantine-robust-noniid-optimizer

Fixup

A Re-implementation of Fixed-update Initialization

graph-tutorial.pytorch

Pytorch Tutorial for Non-Euclidean Graph Representations

dp_practice

practice for differential privacy

Federated-Learning-PyTorch

PyTorch implementation of a federated learning

imagededup

😎 Finding duplicate images made easy!

koapy

KOAPY 는 키움 OpenAPI 를 Python 에서 쉽게 사용할 수 있도록 만든 라이브러리 패키지 및 툴입니다.

lm-extraction-benchmark

ml_privacy_meter

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

mos

perturbation_learning

Learning perturbation sets for robust machine learning

PlotNeuralNet

Latex code for making neural networks diagrams

private-transformers

Make differentially private training of transformers easy

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

server-policy

Server policy for Data Mining & Information Lab

simple_vim_guide

simple vim guide

StealingVerification

Defending against Model Stealing via Verifying Embedded External Features