A Parallel Graphlet Decomposition Library for Large Graphs
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Updated
Mar 21, 2019 - C++
A Parallel Graphlet Decomposition Library for Large Graphs
Reproduce multiple adversarial attack methods
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.
Pytorch-Named-Entity-Recognition-with-transformers
Gradient Decent, Projected Gradient Decent and Stochastic Gradient Decent implementaion in python
Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)
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
Homework of Security and Privacy of Machine Learning (SPML Lectured by Shang-Tse Chen at NTU)
Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"
Programa de Gestão e Desempenho (PGD) versão SESEP (Secretaria de Avaliação e Gestão da Informação) em Docker/container.
PGD GameDev JAM #10: Revived Fears
some tricks for sentence representation
PGD Jam 12 submission by Ivan "iver" Ermakov
A resources of PGD class tasks. With this repository, you can practice pgdit class and home tasks run them based on your requirements.
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.
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