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adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

aoapc-book

《算法竞赛入门经典》例题习题代码

attacks-and-defenses-in-federated-learning

availability-attacks-create-shortcuts

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-llm-safety

A curated list of security-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the security implications, challenges, and advancements surrounding these powerful models.

awesome-programming-books

📚 A curated list of awesome programming books (Algorithms and data structures, Artificial intelligence, Software Architecture, Human–computer interaction, Operating Systems, Database Systems, IT Security, Concurrency, Interpreters and Compilers, High-Performance Computing, Distributed Systems, Game Development, Mathematical optimization)

backdoor-learning-resources

A list of backdoor learning resources

backdoor_federated_learning

Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

beta-vae

Pytorch implementation of β-VAE

book4_power-of-matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；本册有，584幅图，81个代码文件，其中18个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改

cbd

Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"

conditional-generative-adversarial-networks

The repository contains example code for conditional Generative Adversarial Model in theno and Lasagne. The code follows the paper https://arxiv.org/abs/1411.1784 but with a different deep architecture. The folder Generative Images contains Some sampled generated images from the code.

cs-notes

我的自学笔记，在学习shell和MLSys，整理C++、算法、操作系统，后续学习分布式系统，终身更新。

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning-1

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

deeplearning-models

A collection of various deep learning architectures, models, and tips

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

dsgan

Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)

gaal-based-outlier-detection

GAAL-based Outlier Detection

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

imagenet_subsets

Provides functionalities to extract a subset of specified classes from the ImageNet dataset.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

infomaxvae

InfoMax-VAE pytorch implementation

infospider

INFO-SPIDER 是一个集众多数据源于一身的爬虫工具箱🧰，旨在安全快捷的帮助用户拿回自己的数据，工具代码开源，流程透明。支持数据源包括GitHub、QQ邮箱、网易邮箱、阿里邮箱、新浪邮箱、Hotmail邮箱、Outlook邮箱、京东、淘宝、支付宝、**移动、**联通、**电信、知乎、哔哩哔哩、网易云音乐、QQ好友、QQ群、生成朋友圈相册、浏览器浏览历史、12306、博客园、CSDN博客、开源**博客、简书。

java-design-patterns

Design patterns implemented in Java

label_consistent_attacks_pytorch

A minimal PyTorch implementation of Label-Consistent Backdoor Attacks

labs-federated-learning

Accenture Labs Federated Learning

lhy_dl_hw