In this course you will learn how the security of web-based software, including deployed AI agents, can be compromised. Real-world attacks we study are conducted against a variety of web technologies and frameworks. In addition, we will introduce the topic of Adversarial Machine Learning (exploiting algorithms and learning techniques) in the Artificial Intelligence domain, including Language Models. We will review and study modern, cutting-edge research in this area.
Security & Ethical Hacking: Attacking Web and AI Systems
Security & Ethical Hacking: Attacking Web and AI Systems
本课程是 Security and Ethical Hacking 专项课程 的一部分
位教师：Ahmed M. Hamza
访问权限由 Coursera Learning Team 提供
您将学到什么
Perform and prevent web application attacks and knowledge of defensive techniques.
Understand AI/ML platform and model attacks as an extension of web attacks.
Describe the range of attacks on artificial intelligence algorithms and systems (adversarial machine learning).
您将获得的技能
- Data Ethics
- AI Security
- Exploitation techniques
- Authentications
- Secure Coding
- Artificial Intelligence and Machine Learning (AI/ML)
- Cyber Security Assessment
- Generative AI
- Cyber Attacks
- Data Security
- Vulnerability Scanning
- Responsible AI
- Artificial Intelligence
- Security Awareness
- Server Side
- Application Security
- Large Language Modeling
- Open Web Application Security Project (OWASP)
- 技能部分已折叠。显示 9 项技能，共 18 项。
要了解的详细信息
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作业
16 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Security and Ethical Hacking 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有4个模块
In this module, we introduce the protocols of the World Wide Web communication, history, and examine several important attack types targeting the server directly through vulnerabilities of web applications – including logic flaws not tied to a particular software weakness.
涵盖的内容
2个视频11篇阅读材料8个作业
In this module, we study exploit categories incorporating the client/browser (and assumed privileges of the client) in web attacks, including defenses and potential bypasses.
涵盖的内容
1个视频8篇阅读材料4个作业
Function-calling language models (AI agents) present unique risks. We practice attacks on live, deployed models that have excessive agency in their server environments, presenting modern, high-level exploitation primitive in web-deployed language agents.
涵盖的内容
1个视频2篇阅读材料3个作业
This module is an introduction and deep dive into more fundamental, algorithmic types of exploitation against AI systems, namely through study (and careful manipulation) of the machine learning models that power them.
涵盖的内容
1个视频4篇阅读材料1个作业
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课程 是 University of Colorado Boulder提供的以下学位课程的一部分。如果您被录取并注册，您已完成的课程可计入您的学位学习，您的学习进度也可随之转移。
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