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Introduction to LLM Red Teaming

Chapter 1: Foundations of LLM Red Teaming

What is Red Teaming: A General Overview

Why Red Teaming is Essential for LLMs

LLM Vulnerabilities: An Introduction

The LLM Red Teaming Lifecycle

Roles and Responsibilities in an LLM Red Team

Setting Objectives and Scope for LLM Red Teaming

Understanding the Attacker's Mindset

Legal Frameworks and Responsible Disclosure Practices

Hands-on: Defining Scope for a Mock LLM Red Team Operation

Chapter 2: Understanding LLM Attack Surfaces

Prompt Injection: Direct and Indirect Techniques

Data Poisoning: Training Data and Fine-tuning Attacks

Model Evasion and Obfuscation Tactics

Jailbreaking and Role-Playing Attacks

Extracting Sensitive Information from LLMs

Denial of Service and Resource Exhaustion in LLMs

Over-reliance and Misinformation Generation

Identifying Attack Vectors in LLM APIs and Interfaces

Practice: Analyzing LLM APIs for Potential Weaknesses

Chapter 3: Core Red Teaming Techniques for LLMs

Manual Adversarial Prompt Crafting

Automated Prompt Generation and Fuzzing

Utilizing Open-Source Red Teaming Tools

Persona-Based Testing: Simulating Malicious Actors

Multi-Turn Conversation Attacks

Exploiting LLM Memory and Context Windows

Identifying Bias and Harmful Content Generation

Semantic Similarity for Evasion

Hands-on: Crafting Adversarial Prompts

Chapter 4: Advanced Evasion and Exfiltration Methods

Gradient-Based Attack Methods: An Overview

Transfer Attacks: Using Substitute Models

Membership Inference Attacks Against LLMs

Model Inversion and Stealing Techniques for LLMs

Bypassing Input Filters and Output Sanitizers

Chaining Multiple Attack Techniques

Low-Resource and Black-Box Attack Strategies

Practice: Simulating an Information Exfiltration Scenario

Chapter 5: Defenses and Mitigation Strategies for LLMs

Input Validation and Sanitization for LLMs

Output Filtering and Content Moderation

Adversarial Training and Fine-Tuning for Enhanced Security

Instruction Tuning for Safety Alignment

Model Monitoring and Anomaly Detection

Rate Limiting and Access Controls for LLM APIs

Techniques for Detecting Jailbreaks

Strengthening LLM System Defenses

Hands-on: Implementing a Simple Input Sanitizer

Chapter 6: Reporting, Documentation, and Remediation

Structuring a Red Team Report for LLMs

Clearly Communicating Findings and Risks

Prioritizing Vulnerabilities Based on Impact

Recommending Actionable Mitigation Steps

Working with Development Teams for Remediation

Retesting and Verifying Fixes

Documenting Red Teaming Procedures and Plays

Practice: Writing a Sample Vulnerability Report Section

Chapter 3: Core Red Teaming Techniques for LLMs

Sections

3.1 Manual Adversarial Prompt Crafting
3.2 Automated Prompt Generation and Fuzzing
3.3 Utilizing Open-Source Red Teaming Tools
3.4 Persona-Based Testing: Simulating Malicious Actors
3.5 Multi-Turn Conversation Attacks
3.6 Exploiting LLM Memory and Context Windows
3.7 Identifying Bias and Harmful Content Generation
3.8 Semantic Similarity for Evasion
3.9 Hands-on: Crafting Adversarial Prompts

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