对手仿真库 与中心参与者协作，正在建立一个对手仿真计划库，以使组织能够评估其防御能力，以应对他们面临的现实威胁。 仿真计划是测试组织当前防御措施的基本组成部分，这些组织希望围绕实际对手行为优先考虑防御...
”adversary%20attack“ 的搜索结果
Attack Range是一种检测开发平台，可以解决检测工程中的三个主要挑战。 首先，用户能够快速建立尽可能靠近生产环境的小型实验室基础架构。 其次，“攻击范围”使用诸如Atomic Red Team或Caldera之类的不同引擎执行...
目录 Foreword Threat Intelligence Detection and Analytics Adversary Emulation and Red Teaming Assessments and Engineering About the Authors About ATT&CK About MITRE
MITRE Engenuity ATT&CK :registered:评估网站请参阅的实时站点！ 该存储库包含用于生成 MITRE ATT&CK :registered:评估网站的源代码，如attackevals.mitre-engenuity.org 。相关的 MITRE 工作ATT&CKCTI ATT&CK 目录...
易E ezEmu使用户可以通过各种执行技术来测试对手的行为。 ezEmu有点像“蓝色团队的进攻框架”，没有任何联网/ C2功能，而是专注于创建本地测试遥测。 视窗 请参阅以获取ELF ezEmu被编译为parent.exe以简化进程树，...
CALDERA:trade_mark: 完整的文档，培训和用例可在找到。 CALDERA:trade_mark:是一个网络安全框架，旨在轻松运行自主的违规和模拟练习。 它也可以用于运行手动红队或自动事件响应。 它基于，是MITRE的一项活跃的...
1. Known-key security An outsider cannot compute the current session key even he knows some previous session keys. 2. Perfect forward secrecy The compromise of the private keys of both the ...
DNS Rebinding Attack Examples of DNS rebinding attacks DNS rebinding attacks have been known for quite a long time. For example, Stanford Web Security Research Team posted a whitepaper about DNS rebin...
最近在学习对抗学习在方面的论文，对抗训练在提高深度神经网络对图像分类的鲁棒性方面表现出了有效性和高效性。然而，对于文本分类，。此外，现有的文本攻击方法虽然有效，但效率还不足以应用于实际的文本对抗训练。...
'Developing cloud detections using Cloud Attack Range.pdf', 'DISTILLERY：Operationalising threat intelligence for attack detection within Splunk at the Bank of England.pdf', 'Down In the Weeds，Up In...
"Cyber Adversary Characterization" sets the stage and cast of characters for examples and scenarios such as this, providing the security specialist a window into the enemy's mind--necessary in order ...
Tomi Kinnunen; University of Eastern Finland Rosa Gonzalez Hautamäki; University of Eastern Finland Ville Vestman; University of Eastern Finland Md Sahidullah; INRIA ...
├── APT│ ├── A-Formal-Understanding-about-APT-Infection.pdf│ └── Intelligence-Driven Computer Network Defense Informed by Analysis of Adversary Campaigns and Intrusion Kill Chains.pdf├...
%matplotlib inline Adversarial Example Generation Author: Nathan Inkawhich <...__ If you are reading this, hopefully you can appreciate how effective some machine learning models are....
Estates, especially those of public securityrelated companies and institutes, have to protect their privacy from adversary unmanned aerial vehicles(UAVs). In this paper, we propose a reinforcement ...
mitreattack-python是用来处理ATT&CK数据的python开源工具
Gotta Catch ’Em All: Using Honeypots to Catch Adversarial Attacks on Neural NetworkSummaryStrengthWeaknessComment Summary Strength Weakness Comment
目录 Foreword Threat Intelligence Detection and Analytics Adversary Emulation and Red Teaming Assessments and Engineering About the Authors About ATT&CK About MITRE 相关下载链接：//download.csdn.net/...
摘要 Many of today’s machine learning (ML) systems are built by reusing an array of, pretrained, primitive models, each fulfilling distinct functionality (e.g., feature extraction)....
By injecting a small number of maliciously constructed inputs into the training set, an adversary is able to plant a backdoor into the trained model.
攻击NLP模型方法的简单总结
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