Pytorch-Named-Entity-Recognition-with-transformers
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.
Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"
some tricks for sentence representation
Projected Gradient Descent (PGD), inverted and amplified -> prompt & generate images with CLIP
PyTorch implementation of projected gradient descent (PGD) adversarial noise attack
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.
Biblioteca para simplificar as chamadas à API do Programa de Gestão e Desempenho (PGD) do Ministério da Gestão (GovBR) para sistemas em Python.
Gradient Decent, Projected Gradient Decent and Stochastic Gradient Decent implementaion in python
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