Info Hash:607DE8F602ED8DE16964E41A8483F1FC32A706FB
收录时间2026-01-06 05:32:34
更新时间2026-01-06 05:54:03
文件列表 (34)
Lesson 3 Training Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities/006. 3.5 Securing Amazon BedRock, SageMaker, Microsoft Azure AI Services, and Other Environments.mp4
67.84 MB
Lesson 1 Introduction to AI Threats and LLM Security/001. Learning objectives.mp4
8.44 MB
Lesson 1 Introduction to AI Threats and LLM Security/002. 1.1 Understanding the Significance of LLMs in the AI Landscape.mp4
48.75 MB
Lesson 1 Introduction to AI Threats and LLM Security/003. 1.2 Exploring the Resources for this Course - GitHub Repositories and Others.mp4
10.69 MB
Lesson 1 Introduction to AI Threats and LLM Security/004. 1.3 Introducing Retrieval Augmented Generation (RAG).mp4
33.99 MB
Lesson 1 Introduction to AI Threats and LLM Security/005. 1.4 Understanding the OWASP Top-10 Risks for LLMs.mp4
20.87 MB
Lesson 1 Introduction to AI Threats and LLM Security/006. 1.5 Exploring the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) Framework.mp4
Lesson 2 Understanding Prompt Injection & Insecure Output Handling/004. 2.3 Using ChatML for OpenAI API Calls to Indicate to the LLM the Source of Prompt Input.mp4
38.21 MB
Lesson 2 Understanding Prompt Injection & Insecure Output Handling/005. 2.4 Enforcing Privilege Control on LLM Access to Backend Systems.mp4
15.89 MB
Lesson 2 Understanding Prompt Injection & Insecure Output Handling/006. 2.5 Best Practices Around API Tokens for Plugins, Data Access, and Function-level Permissions.mp4
Lesson 2 Understanding Prompt Injection & Insecure Output Handling/008. 2.7 Using the OWASP ASVS to Protect Against Insecure Output Handling.mp4
19.99 MB
Lesson 3 Training Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities/001. Learning objectives.mp4
4.93 MB
Lesson 3 Training Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities/002. 3.1 Understanding Training Data Poisoning Attacks.mp4
21.82 MB
Lesson 3 Training Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities/003. 3.2 Exploring Model Denial of Service Attacks.mp4
9.88 MB
Lesson 3 Training Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities/004. 3.3 Understanding the Risks of the AI and ML Supply Chain.mp4
36.21 MB
Lesson 3 Training Data Poisoning, Model Denial of Service & Supply Chain Vulnerabilities/005. 3.4 Best Practices when Using Open-Source Models from Hugging Face and Other Sources.mp4
52.31 MB
Introduction/001. Securing Generative AI Introduction.mp4
18.76 MB
Lesson 4 Sensitive Information Disclosure, Insecure Plugin Design, and Excessive Agency/001. Learning objectives.mp4
6.51 MB
Lesson 4 Sensitive Information Disclosure, Insecure Plugin Design, and Excessive Agency/002. 4.1 Understanding Sensitive Information Disclosure.mp4
18.11 MB
Lesson 4 Sensitive Information Disclosure, Insecure Plugin Design, and Excessive Agency/003. 4.2 Exploiting Insecure Plugin Design.mp4
12.09 MB
Lesson 4 Sensitive Information Disclosure, Insecure Plugin Design, and Excessive Agency/004. 4.3 Avoiding Excessive Agency.mp4
14.82 MB
Lesson 5 Overreliance, Model Theft, and Red Teaming AI Models/001. Learning objectives.mp4
4.48 MB
Lesson 5 Overreliance, Model Theft, and Red Teaming AI Models/002. 5.1 Understanding Overreliance.mp4
21.21 MB
Lesson 5 Overreliance, Model Theft, and Red Teaming AI Models/003. 5.2 Exploring Model Theft Attacks.mp4
16.43 MB
Lesson 5 Overreliance, Model Theft, and Red Teaming AI Models/004. 5.3 Understanding Red Teaming of AI Models.mp4