Homework of Security and Privacy of Machine Learning (SPML Lectured by Shang-Tse Chen at NTU)
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Updated
Jan 29, 2022 - Python
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
A resources of PGD class tasks. With this repository, you can practice pgdit class and home tasks run them based on your requirements.
some tricks for sentence representation
Gradient Decent, Projected Gradient Decent and Stochastic Gradient Decent implementaion in python
PGD Jam 12 submission by Ivan "iver" Ermakov
PGD GameDev JAM #10: Revived Fears
Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.
Reproduce multiple adversarial attack methods
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"
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.
Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)
A Parallel Graphlet Decomposition Library for Large Graphs
Pytorch-Named-Entity-Recognition-with-transformers
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