Course Code: redteamingai
Duration: 14 hours
Prerequisites:
  • An understanding of machine learning and deep learning architectures
  • Experience with Python and ML frameworks (e.g., TensorFlow, PyTorch)
  • Familiarity with cybersecurity concepts or offensive security techniques

Audience

  • Security researchers
  • Offensive security teams
  • AI assurance and red team professionals
Overview:

Red Teaming AI Systems is a specialized area of offensive security that focuses on identifying weaknesses in machine learning models and deployment pipelines through adversarial testing and stress simulations.

This instructor-led, live training (online or onsite) is aimed at advanced-level security professionals and ML specialists who wish to simulate attacks on AI systems, uncover vulnerabilities, and enhance the robustness of deployed AI models.

By the end of this training, participants will be able to:

  • Simulate real-world threats to machine learning models.
  • Generate adversarial examples to test model robustness.
  • Assess the attack surface of AI APIs and pipelines.
  • Design red teaming strategies for AI deployment environments.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to AI Red Teaming

  • Understanding the AI threat landscape
  • Roles of red teams in AI security
  • Ethical and legal considerations

Adversarial Machine Learning

  • Types of attacks: evasion, poisoning, extraction, inference
  • Generating adversarial examples (e.g., FGSM, PGD)
  • Targeted vs untargeted attacks and success metrics

Testing Model Robustness

  • Evaluating robustness under perturbations
  • Exploring model blind spots and failure modes
  • Stress testing classification, vision, and NLP models

Red Teaming AI Pipelines

  • Attack surface of AI pipelines: data, model, deployment
  • Exploiting insecure model APIs and endpoints
  • Reverse engineering model behavior and outputs

Simulation and Tooling

  • Using the Adversarial Robustness Toolbox (ART)
  • Red teaming with tools like TextAttack and IBM ART
  • Sandboxing, monitoring, and observability tools

AI Red Team Strategy and Defense Collaboration

  • Developing red team exercises and goals
  • Communicating findings to blue teams
  • Integrating red teaming into AI risk management

Summary and Next Steps

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