Advanced AI Red Team Labs

Advanced hands-on labs covering automated attack algorithms, production red team tooling, multi-model testing, and sophisticated exploitation techniques for experienced AI security practitioners.

Advanced Labs Overview

The advanced track moves beyond individual attack techniques into automated attack systems, production-grade tooling, and model-specific exploitation. These labs require you to build complete pipelines, implement research algorithms, and test against multiple models simultaneously.

Prerequisites

Before starting these labs, you should have completed:

• All Beginner Labs -- especially the test harness (Lab 4) and API testing (Lab 6)
• Familiarity with Intermediate Labs concepts -- multi-step attacks, indirect injection
• Comfortable reading and modifying Python async code
• API access to at least two different LLM providers

Lab Catalog

Automated Attack Algorithms

These labs implement state-of-the-art attack algorithms from recent research:

Production Tooling

Build the infrastructure that professional red teams rely on:

Model-Specific Exploitation

Attack techniques targeting specific model architectures and modalities:

Defense Bypass and Backdoors

Techniques for circumventing layered defenses and introducing persistent vulnerabilities:

Recommended Paths

For practitioners building red team infrastructure:

1. Custom Harness -- build your testing foundation
2. Multi-Model Testing -- extend to comparative analysis
3. PAIR Attack -- add automated attack generation
4. CART Pipeline -- deploy continuous testing

For researchers exploring cutting-edge attack techniques:

1. PAIR Attack -- implement foundational algorithm
2. TAP Algorithm -- explore tree-based search
3. Adversarial Suffixes -- gradient-based attacks
4. Training Data Extraction -- privacy attacks

For practitioners who need to understand attacks to build better defenses:

1. Guardrail Bypass Chain -- understand defense gaps
2. PAIR Attack -- see how automated attacks probe defenses
3. Fine-Tune Backdoor -- supply chain risks
4. CART Pipeline -- build defensive monitoring

What Comes Next

After completing the advanced track, you are ready for:

• Expert Labs -- RLHF reward hacking, quantization exploits, multi-agent warfare
• CTF Challenges -- competitive exercises that combine multiple techniques
• Full Engagement Simulations -- end-to-end red team engagements against realistic targets

Related Topics

• Intermediate Labs - Prerequisites that build the skills needed for advanced exercises
• Expert Labs - Next progression for research-oriented red team practitioners
• CTF Challenges - Competitive exercises that test advanced techniques under pressure
• Red Team Methodology - Methodology framework that advanced automation implements at scale

References

• "PAIR: Prompt Automatic Iterative Refinement" - Chao et al. (2023) - Automated attack algorithm implemented in the PAIR attack lab
• "Tree of Attacks: Jailbreaking Black-Box LLMs with Auto-Regressive Pruning" - Mehrotra et al. (2023) - TAP algorithm implemented in the TAP lab
• "Universal and Transferable Adversarial Attacks on Aligned Language Models" - Zou et al. (2023) - GCG algorithm for adversarial suffix generation
• "AI Risk Management Framework" - NIST (2023) - Framework for systematic AI risk evaluation that informs advanced pipeline design