ATLAS Training Workshop: Adversarial Threat Landscape for AI Systems Training by Tonex
This 2-day intensive workshop is designed to provide participants with a comprehensive understanding of the Adversarial Threat Landscape for Artificial-Intelligence Systems (ATLAS). ATLAS is a globally accessible, living knowledge base that documents adversary tactics and techniques used against AI-enabled systems. Participants will learn from real-world attack observations and demonstrations from AI red teams and security groups. The workshop will combine theoretical knowledge with hands-on practical exercises to prepare attendees to identify, mitigate, and defend against adversarial threats in AI systems.
Learning Objectives:
By the end of this workshop, participants will be able to:
- Understand the structure and purpose of the ATLAS knowledge base.
- Identify and analyze common adversary tactics and techniques targeting AI systems.
- Apply knowledge from real-world attack scenarios to improve AI system security.
- Develop and implement strategies for mitigating adversarial threats.
- Conduct effective AI red teaming exercises.
- Stay updated with evolving adversarial tactics and techniques through continuous learning and adaptation.
Target Audience:
- AI and Machine Learning Engineers
- Cybersecurity Professionals
- AI Red Team Members
- Security Analysts
- IT Risk Managers
- Researchers and Academics in AI Security
- Anyone interested in enhancing their understanding of adversarial threats in AI
Workshop Modules:
Day 1: Understanding ATLAS and Adversarial Threats
Module 1: Introduction to ATLAS
- Overview of ATLAS: Purpose and Scope
- Navigating the ATLAS Knowledge Base
- Key Components and Structure of ATLAS
Module 2: Adversarial Tactics and Techniques
- Common Adversary Tactics against AI Systems
- Techniques Used in Real-world AI Attacks
- Case Studies of Notable AI Security Breaches
Module 3: Real-world Attack Observations
- Analysis of Documented Attack Scenarios
- Learning from AI Red Team Exercises
- Insights from Security Groups on AI Threats
Module 4: Hands-on Exercise: Navigating ATLAS
- Practical Session on Using ATLAS for Threat Analysis
- Identifying Relevant Tactics and Techniques
- Mapping Observations to ATLAS Entries
Day 2: Mitigation Strategies and Red Teaming
Module 5: Mitigating Adversarial Threats
- Developing Defense Strategies for AI Systems
- Implementing Mitigation Techniques
- Case Study: Successful Mitigation Strategies
Module 6: AI Red Teaming
- Introduction to AI Red Teaming Concepts
- Planning and Executing Red Team Exercises
- Tools and Techniques for AI Red Teaming
Module 7: Practical Session: Conducting AI Red Team Exercises
- Hands-on Red Team Simulation
- Analyzing and Interpreting Results
- Feedback and Improvement Strategies