Course Outline

Introduction to AI Threat Modeling

  • What makes AI systems vulnerable?
  • AI attack surface vs traditional systems
  • Key attack vectors: data, model, output, and interface layers

Adversarial Attacks on AI Models

  • Understanding adversarial examples and perturbation techniques
  • White-box vs black-box attacks
  • FGSM, PGD, and DeepFool methods
  • Visualizing and crafting adversarial samples

Model Inversion and Privacy Leakage

  • Inferring training data from model output
  • Membership inference attacks
  • Privacy risks in classification and generative models

Data Poisoning and Backdoor Injections

  • How poisoned data influences model behavior
  • Trigger-based backdoors and Trojan attacks
  • Detection and sanitization strategies

Robustness and Defense Techniques

  • Adversarial training and data augmentation
  • Gradient masking and input preprocessing
  • Model smoothing and regularization techniques

Privacy-Preserving AI Defenses

  • Introduction to differential privacy
  • Noise injection and privacy budgets
  • Federated learning and secure aggregation

AI Security in Practice

  • Threat-aware model evaluation and deployment
  • Using ART (Adversarial Robustness Toolbox) in applied settings
  • Industry case studies: real-world breaches and mitigations

Summary and Next Steps

Requirements

  • An understanding of machine learning workflows and model training
  • Experience with Python and common ML frameworks such as PyTorch or TensorFlow
  • Familiarity with basic security or threat modeling concepts is helpful

Audience

  • Machine learning engineers
  • Cybersecurity analysts
  • AI researchers and model validation teams
 14 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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