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hypervisor cdeepfuzz snapshots greybox

Elasticsearch对接MinIO存储Snapshot快照

服务器配置 MinIO集群节点(4节点) IP 节点1 miniotest1.ip.tp-link.com 172.29.145.80 生产环境需要增加一个Nginx负载均衡前端用于ELK对接，此处直接对接节点1 ELK集群（3节点） Elasticsearch版本为7.17.12 iamdemo1 ......
快照 Elasticsearch Snapshot MinIO

VMware ESXi 8.0U2 下载 - 领先的裸机 Hypervisor (Custom Image update)

VMware ESXi 8.0U2 下载 - 领先的裸机 Hypervisor (Custom Image update) 同步发布 Dell 和 HPE 等 OEM 定制版镜像 请访问原文链接：https://sysin.org/blog/vmware-esxi-8-u2/，查看最新版。原创作品， ......
裸机 Hypervisor VMware Custom update

backblaze b2通过cli下载大文件快照snapshots

按照官方的常规方式，是先在cli下查看buckets list-buckets 找到b2 snapshots 的名称，然后通过download-file下载 b2 download-file --thread 1 b2://snapshots目录/备份文件名 . 注意下载大文件，最好是把现成设置成1 ......
快照 backblaze snapshots 文件 cli

快照snapshot

快照snapshot 快照功能通常是以写入时复制技术来实作。Linux通过逻辑卷轴管理员实作快照功能。 写入时复制 写入时复制（英语：Copy-on-write，简称COW）是一种计算机[程序设计]领域的优化策略。其核心思想是，如果有多个调用者（callers）同时请求相同资源（如内存或磁盘上的数据 ......
快照 snapshot

Proj CDeepFuzz Paper Reading: POLYCRUISE: A Cross-Language Dynamic Information Flow Analysis

Abstract 本文： PolyCruise Method: 跨编程语言的holistic dynamic information flow analysis(DIFA) use a light language-specific analysis和language-agnostic online ......
Cross-Language Information POLYCRUISE CDeepFuzz Analysis

Proj CDeepFuzz Paper Reading: NYX: Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types

Abstract 背景：hypervisor(virtual machine monitor, VMM) 保障了不同虚拟机之间的安全隔离(security boundaries) 用户：攻击场景：在云服务上运行自身的VM instances, 提升权限 本文：Nyx 目的：coverage guid ......
Hypervisor CDeepFuzz Snapshots Greybox Fuzzing

VMware ESXi 7.0 Update 3o 下载 - 领先的裸机 Hypervisor (重大更新)

VMware ESXi 7.0 Update 3o 下载 - 领先的裸机 Hypervisor (重大更新) VMware ESXi 7.0 Update 3o Standard & All Custom Image for ESXi 7.0 U3 Install CD 新增了 22 个服务器机型（ ......
裸机 Hypervisor VMware Update ESXi

Snapshot appears to have been created more than one day into the future!

Snapshot appears to have been created more than one day into the future! Raspberry PI 4b上安装freebsd13.2 aarch系统后，使用ssh链接，输入portsnap fetch extract命令，提示： ......
Snapshot appears created future have

Mac故障排查系列：redis删除key报错MISCONF Redis is configured to save RDB snapshots, but it's currently unable to persist to disk.

背景：Mac下使用Another Redis Desktop Manager客户端，删除key，遇到报错：MISCONF Redis is configured to save RDB snapshots, but it's currently unable to persist to disk. ......
configured currently snapshots to 故障

VMware ESXi 8.0U2 发布 - 领先的裸机 Hypervisor

VMware ESXi 8.0U2 发布 - 领先的裸机 Hypervisor 2023-09-21，北京时间 22 日凌晨 vSphere 8.0 Update 2 正式发布。 同步发布 Dell 和 HPE 等 OEM 定制版镜像 请访问原文链接：https://sysin.org/blog/v ......
裸机 Hypervisor VMware ESXi 8.0

The POM for com.xubo:service_base:jar:0.0.1-SNAPSHOT is missing, no dependency information available

报错信息 [INFO] Scanning for projects... [INFO] [INFO] < com.xubo:service_edu > [INFO] Building service_edu 0.0.1-SNAPSHOT [INFO] [ jar ] [WARNING] The PO ......
service_base information dependency available SNAPSHOT

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 ......
read_committed_snapshot 快照 committed snapshot 级别

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 ......
Metamorphic CDeepFuzz Compilers Learning Reading

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 ......
Comprehensive CDeepFuzz Compiler Learning Reading

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 ......
DeepMutation CDeepFuzz Mutation Learning Reading

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 ......
Large-Scale TensorFlow CDeepFuzz learning Reading

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 ......
Backpropagation SparseProp CDeepFuzz Efficient Networks

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 ......
high-performance performance imperative CDeepFuzz learning

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 ......
CDeepFuzz Landscape Language Software Reading

给你的模糊测试开开窍——定向灰盒模糊测试（Directed Greybox Fuzzing）综述

​ 本文系原创，转载请说明出处 Please Subscribe Wechat Official Account：信安科研人，获取更多的原创安全资讯 原论文：《The Progress, Challenges, and Perspectives of Directed Greybox Fuzzing ......
Directed Greybox Fuzzing

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 ......
Exploiting CDeepFuzz Backdoors Naturally Analysis

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 ......
Decompiling Executables CDeepFuzz Network Reading

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 ......
Non-Deterministic Effectiveness Deterministic CDeepFuzz Balancing

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/ ......
Diversifying Generation CDeepFuzz Inductive Inference

Proj CDeepFuzz Paper Reading: Natural attack for pre-trained models of code

## Abstract 背景：目前大多数的adversarial attack method on pre-trained models of code忽略了perturbations should be natural to human judges(naturalness requirement ......
pre-trained CDeepFuzz Natural Reading trained

Proj CDeepFuzz Paper Reading: COMET: Coverage-guided Model Generation For Deep Learning Library Testing

## Abstract 背景：已有的方法(Muffin, Lemon, Cradle) can cover at most 34.1% layer inputs, 25.9% layer parameter values, and 15.6% layer sequences. 本文：COMET Gi ......
Coverage-guided Generation CDeepFuzz Coverage Learning

Proj CDeepFuzz Paper Reading: IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks

## Abstract 本文：IvySyn Task: discover memory error vulnerabilities in DL frameworks BugType: memory safety errors, fatal runtime errors Method: 1. 利用na ......
Vulnerability Frameworks CDeepFuzz Automated Discovery

Proj CDeepFuzz Paper Reading: Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness

## Abstract 本文： Task: 1. prove invariance-inducing regularizers can increase predictive accuracy for worst-case spatial transformations 2. prove that ......
Invariance-inducing transformations regularization Invariance robustness

Proj CDeepFuzz Paper Reading: Framework for Evaluating Faithfulness of Local Explanations

## Abstract 本文: Task: 1. study the faithfulness of an explanation system to the underlying prediction model on consistency and sufficiency 2. introduc ......
Faithfulness Explanations Evaluating CDeepFuzz Framework
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