hzs's repositories
adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
adversarial-patch
PyTorch implementation of adversarial patch
adversarial_image_defenses
Countering Adversarial Image using Input Transformations.
algorithm-pattern
算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~
APE-GAN-Plus-Plus
Improved APE-GAN
concurrent
这是RedSpider社区成员原创与维护的Java多线程系列文章。
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
daimai
大麦网演唱会抢票脚本
DeepIPR
This is the code repo of our NeurIPS2019 work that proposes novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.
DeepJudge
Code release for DeepJudge (S&P'22)
JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
l2l-da
Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks
LaVan-Pytorch
Reproduce work "LaVAN: Localized and Visible Adversarial Noise - ICML2018"
leetcode_101
LeetCode 101：和你一起你轻松刷题（C++）
nacos-spring-boot-project
Nacos ECO Project for Spring Boot
nacos-spring-project
Nacos ECO Project for Spring Framework
notes
算法刷题指南、Java多线程与高并发、Java集合源码、Spring boot、Spring Cloud等笔记，源码级学习笔记后续也会更新。
Patch-wise-iterative-attack
Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
robust-finetuning
Code relative to "Adversarial robustness against multiple $l_p$-threat models at the price of one and how to quickly fine-tune robust models to another threat model"
sa-token
这可能是史上功能最全的Java权限认证框架！目前已集成——登录验证、权限验证、Session会话、踢人下线、分布式会话、单点登录、OAuth2.0、记住我模式、模拟他人账号、临时身份切换、集成Redis、多账号认证体系、前后台分离模式、注解式鉴权、路由拦截式鉴权、花式token生成、自动续签、同端互斥登录、会话治理、密码加密、jwt集成、Spring集成...
springcloud-learning
一套涵盖大部分核心组件使用的Spring Cloud教程，包括Spring Cloud Alibaba及分布式事务Seata，基于Spring Cloud Greenwich及SpringBoot 2.1.7。篇篇精华，涵盖大部分应用场景。
SymDNN
SymDNN is a Deep Neural Network (DNN) inference scheme which is a readily usable defense for embedded systems. It has very less computation and memory overhead. SymDNN input transform is learned from very large datasets, making it difficult to approximate for even adaptive adversarial attacks. SymDNN also results in significant reduction in the size of the images in their symbolic encoded forms without any significant negative impact on their classification post reconstruction. This can be useful for storage or communication of the images
szuthesis
szuthesis 深圳大学学位论文 LaTeX 模板
WideResNet-pytorch
Wide Residual Networks (WideResNets) in PyTorch