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云销雨霁's Projects

adversarial-examples icon adversarial-examples

AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool

adversarial-training-pytorch icon adversarial-training-pytorch

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.

advrobust icon advrobust

A efficient, ultrafast and flexible python library for adversarial machine learning on attacks, defenses,adv-training and benchmark.

anomaly-transformer icon anomaly-transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

compilationprinciple icon compilationprinciple

编译原理课程设计和实验内容,课程设计实现了简单C语言编译器,包括词法分析、语法分析(LL1)、语义分析、四元式优化和目标代码生成。实验内容包括表达式语法分析器、词法分析扫描器、算术表达式四元式翻译器

cw_linf icon cw_linf

Pytorch Reimplementation of Carnili-Wagner Attack.

d2stgnn icon d2stgnn

Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

database_ex icon database_ex

南京航空航天大学 数据库课设 2021spring

foolbox icon foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

gnn-zzy icon gnn-zzy

PyTorch示例代码;复现GNN模型

lhwatermark icon lhwatermark

Add a digital watermark to image。给图片加上数字(盲)水印

libfacedetection icon libfacedetection

An open source library for face detection in images. The face detection speed can reach 1000FPS.

lshort-zh-cn icon lshort-zh-cn

A Chi­nese edi­tion of the Not So Short Introduction to LaTeX2ε

maaassistantarknights icon maaassistantarknights

《明日方舟》小助手,全日常一键长草!| An Arknights assistant compatible with EN, JP, KR, ZH_TW clients

maaframework icon maaframework

基于图像识别的软件自动化测试框架 | A software automation testing framework based on image recognition

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