1024字节read

开启read_committed_snapshot 读快照隔离级别的方法

--修改sqlserver 数据库隔离级别 --开启read_committed_snapshot 读快照隔离级别,推荐值是1: --可以解决sqlserver大多数无脑死锁现象 select name,is_read_committed_snapshot_on from sys.databases ......

Python数据类型之字节串(Bytes)

Python中的字节串类型(bytes)是在Python 3.0版本中新增的类型。在Python 2.x版本中,字节串类型被称为字符串类型(str),但在Python 3.0中,字符串类型被重命名为文本字符串类型(str),而字节串类型被引入并命名为bytes。 字节串类型用于表示二进制数据,可以包 ......
字节 类型 数据 Python Bytes

Paper reading: Improving Deep Forest by Exploiting High-order Interactions

为了对深度森林设计出信息量更大、计算成本更低的特征表示,本文提出了一种新的深度森林模型——高阶交互深度森林(hiDF),利用输入特征的稳定高阶交互来生成信息丰富且多样化的特征表示。具体而言,本文设计了一个广义版本的随机交叉树(gRIT)来发现稳定的高阶相互作用,并应用激活线性组合(ALC)将这些相互... ......

C#文件保存数据库,数据库读取字节流生生成文件

写入数据库文件 private void Inti() { string dllpath = Environment.CurrentDirectory + "\\DLLFile\\"; try { if (string.IsNullOrEmpty(txtOrderNo.Text)) { Messag ......
数据库 文件 数据 字节

Proj. CRR Paper Reading: Optimal Speedup of Las Vegas Algorithms, Adaptive restart for stochastic synthesis

Title Adaptive restart for stochastic synthesis PLDI 2021 Task Distribute the power between multiple runs in stochastic program synthesis to accelerat ......

blockchain | evm字节码

blockchain | evm字节码 深入以后发现,evm字节码真的太简单啦!!!我最喜欢这样子简约的设计了,基于栈的虚拟机,只有push指令可以将bytecode中的参数压栈,其他的都只是基于栈或者环境的操作。 项目地址:https://github.com/Mz1z/mzevmjs.git 依 ......
字节 blockchain evm

2.12 PE结构:实现PE字节注入

本章笔者将介绍一种通过Metasploit生成ShellCode并将其注入到特定PE文件内的Shell植入技术。该技术能够劫持原始PE文件的入口地址,在PE程序运行之前执行ShellCode反弹,执行后挂入后台并继续运行原始程序,实现了一种隐蔽的Shell访问。而我把这种技术叫做字节注入反弹。字节注... ......
字节 结构 2.12 12

C语言中几种类型所占字节数

类型16位32 位64位char111short int222int244unsigned int244float444double888long448long long888unsigned long448 ......
字节 语言 类型

字节序转换接口

第一组 #include <arpa/inet.h> // 函数作用:将无符号整数hostlong从主机字节顺序转换为网络字节顺序。 uint32_t htonl(uint32_t hostlong); // 函数作用:将无符号短整数hostshort从主机字节顺序转换为网络字节顺序。 uint16 ......
字节 接口

Paper Reading: Hashing-Based Undersampling Ensemble for Imbalanced Pattern Classification Problems

针对欠采样方法会丢弃大量多数类样本导致信息缺失的问题,本文提出了基于哈希的欠采样集成 HUE 模型,它利用 Bagging 和多数类样本的分布特征来构建多样化的训练子集。首先 HUE 通过散列将大多数类样本划分为不同的特征子空间,然后使用所有少数样本和主要从同一哈希子空间中提取的部分多数样本来构建训... ......

Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert 论文笔记

最近一直在看虚拟人像. 最关键的论文就是wav2lip. 目前项目中也是用的这个. 一个视频加一个语音, 就可以生成用视频里面的头,加语音的新视频. 现在看这篇论文Seeing What You Said: Talking Face Generation Guided by a Lip Readin ......
Generation Reading Talking 笔记 Seeing

What We’re Reading: What makes you happy?

Hi everybody, As I enjoy the last dregs of summer in Chicago, I bask in the nearly-perfect pre-winter weather, the joy in returning my kids to school, ......
What Reading makes happy you

Proj CDeepFuzz Paper Reading: Metamorphic Testing of Deep Learning Compilers

## Abstract 背景:Compiling DNN models into high-efficiency executables is not easy: the compilation procedure often involves converting high-level model ......

解决npm ERR! Cannot read properties of null (reading ‘pickAlgorithm‘)报错问题

转载自:https://www.cnblogs.com/zhyp/p/16920380.html 解决方法:在终端中运行命令:npm cache clear --force 然后重新运行 npm i 命令,再次安装安装完成,没有出现报错npm run serve 运行项目,项目可以正常启动了。 安装 ......

Proj CDeepFuzz Paper Reading: A Comprehensive Study of Deep Learning Compiler Bugs

## Abstract 背景:深度学习编译器处理的深度学习模型与命令式程序有根本的不同,因为深度学习模型中的程序逻辑是隐式的。(the DL models processed by DL compilers differ fundamentally from imperative programs ......

Proj CDeepFuzz Paper Reading: DeepMutation: Mutation Testing of Deep Learning Systems

## Abstract 本文:DeepMutation Github: https://github.com/berkuva/mutation-testing-for-DNNs Task: mutation testing framework specialized for DL systems t ......

Proj CDeepFuzz Paper Reading: Testing Deep Neural Networks

## Abstract 本文:DeepCover Github: https://github.com/TrustAI/DeepCover Task: propose 4 novel test criteria to test DNNs Method: inspired by MC/DC cover ......
CDeepFuzz Networks Reading Testing Neural

Proj CDeepFuzz Paper Reading: TensorFlow: a system for Large-Scale machine learning

## Abstract 本文:Tensorflow Github: https://github.com/tensorflow/tensorflow Task: Detail on Tensorflow dataflow model 特点: 1. operates at large scale an ......

Proj CDeepFuzz Paper Reading: SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks

## Abstract 本文:SparseProp Github: https://github.com/IST-DASLab/sparseprop Task: a back-propagation algo for sparse training data, a fast vectorized i ......

Proj CDeepFuzz Paper Reading: PyTorch: an imperative style, high-performance deep learning library

## Abstract 本文: PyTorch Task: detail the implementation and architecture of PyTorch Github: https://github.com/pytorch/pytorch 特点: 1. PyTorch同时关注可用性和速 ......

Proj CDeepFuzz Paper Reading: Software Testing with Large Language Model: Survey, Landscape, and Vision

## Abstract 本文: Task: Review on the use of LLMs in software testing Method: 1. analyzes 52 relevant studies ## 1. Intro ![](https://img2023.cnblogs.co ......

Nginx_0.7.65_空字节漏洞

[toc] # Nginx_0.7.65_空字节漏洞 ### 1.1、漏洞描述 ### 1.2、漏洞等级 ### 1.3、影响版本 0.7.65 ### 1.4、漏洞复现 #### 1、基础环境 > 链接:https://pan.baidu.com/s/1GBEb6ig6ogiQfXq-yj_Vhw ......
字节 漏洞 Nginx 65

docker启动mysql报错Can't read dir of '/etc/mysql/conf.d/'

执行命令: docker run -p 3306:3306 --privileged=true -v /mysql/data:/var/lib/mysql -v /mysql/log:/var/log/mysql -v /mysql/conf:/etc/mysql-e MYSQL_ROOT_PASS ......
mysql 39 docker conf read

Proj CDeepFuzz Paper Reading: PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis

## Abstract 背景: 1. 本文研究的不是被恶意植入的后门,而是products of defects in training 2. 攻击模式: injecting some small fixed input pattern(backdoor) to induce misclassifi ......

Proj CDeepFuzz Paper Reading: Decompiling x86 Deep Neural Network Executables

## Abstract 本文: BTD github: https://github.com/monkbai/DNN-decompiler/ Task: a decompiler for DNN models to output DNN specifications including: opera ......

Python文件读取方法:read()、readline()和readlines()的区别

![在这里插入图片描述](https://img-blog.csdnimg.cn/1bab73a81f954fbabbe802c443e6aa39.png) 在Python中,读取文件是一项常见的任务。Python提供了多种方法来读取文件内容,其中包括read()、readline()和readli ......
readlines readline 文件 方法 Python

CF1374E2 Reading Books(hard version) 题解

# CF1374E2 Reading Books(hard version) 这道题是在 [CF1374E1 Reading Books(easy version)](https://www.luogu.com.cn/problem/CF1374E1) 的基础上出的,而且仅仅增加了一个 $m$ 的限 ......
题解 Reading version 1374E Books

通过ENQUEUE_READ判断单据是否被锁定

## 使用场景 公司的外向交货单需要传到WMS进入出库操作,传输成功后调用BAPI外向交货单的一个状态,如果不判断单据是否被锁定,那么下传wms成功后改变单据状态时就会报错,进而导致状态修改失败,从而导致wms和SAP数据不一致的问题。 ## 解决方式 通过ENQUEUE_READ函数判断某个单据是 ......
单据 ENQUEUE_READ ENQUEUE READ

Proj CDeepFuzz Paper Reading: Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests

## Abstract 背景:In fact, some of the latest findings suggest that the existence of adversarial attacks may be an inherent weakness of deep learning mod ......

Proj CDeepFuzz Paper Reading: NeuRI: Diversifying DNN Generation via Inductive Rule Inference

## Abstract 背景:The correctness of DL systems is crucial for trust in DL applications 本文: NeuRI BaseTool: FreeFuzz Github: https://github.com/ise-uiuc/ ......