Implementation for NIPS2023: A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

Adversarial Training for Natural Language Understanding

PyTorch Implementation of Adversarial Training for Free!

Robust evasion attacks against neural network to find adversarial examples

A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"

Comparaison of adversarial training algorithms (FreeLB, FreeAT and K-PGD) on natural language tasks

Use FGM, PGD, FreeLB to finetuing Bert.

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks

This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)

Reproduction of cw attack on pytorch with corresponding MNIST model

PyTorch implementation of adversarial attacks [torchattacks]

Compressed Vertical Federated Learning simulation code

Code for Paper "Adaptive Vertical Federated Learning on Unbalanced Features"

Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)

Codes of FairVFL

THU-AIR Vertical Federated Learning general, extensible and light-weight framework

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

We are building an open database of COVID-19 cases with chest X-ray or CT images.

NeurIPS 2025: Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies