Pytorch-Named-Entity-Recognition-with-transformers

A Parallel Graphlet Decomposition Library for Large Graphs

Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

Reproduce multiple adversarial attack methods

Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.

Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022

Structural Wing Model Reduction in Fluid-Structure Interactions

Projeto Oficial do Módulo de Controle de Desempenho e Utilidades do SEI. PROJETO DE DESENVOLVIMENTO COLABORATIVO, contudo, deve abrir Issue de demanda para discussão antes de qualquer desenvolvimento.

Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"

Package for adversarial attack in pytorch

some tricks for sentence representation

Projected Gradient Descent (PGD), inverted and amplified -> prompt & generate images with CLIP

Programa de Gestão e Desempenho (PGD) versão SESEP (Secretaria de Avaliação e Gestão da Informação) em Docker/container.

Defence of Five

对抗测试

Homework of Security and Privacy of Machine Learning (SPML Lectured by Shang-Tse Chen at NTU)

A resources of PGD class tasks. With this repository, you can practice pgdit class and home tasks run them based on your requirements.

Gradient Decent, Projected Gradient Decent and Stochastic Gradient Decent implementaion in python

PyTorch implementation of projected gradient descent (PGD) adversarial noise attack