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.

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.

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

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

Package for adversarial attack in pytorch

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

Reproduce multiple adversarial attack methods

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

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

some tricks for sentence representation

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

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

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

Defence of Five

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

对抗测试