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>AI Security from First Principles

AI Security from First Principles

Learn to build, break and secure AI from first principles with this hands-on workshop; from neural nets to attack classes & AI model exploration.

No AI/ML experience is needed, just basic Python & command-line skills. All code provided.

Ideal for builders, breakers and defenders.

Learn how to attack and defend AI.

Who is it for?
– For hands on builders, breakers, cyber risk and security, audit.

What are the requirements?
– Python: basic familiarity; install modules, import them, call functions, write simple conditionals and loops (note: you do not need to be a programmer – this is not a coding workshop, you will be given code snippets to paste and adapt)
– Basic command-line skills; editing text files, issuing and editing commands
– no previous experience of AI or Machine Learning is required
– bring your laptop with a recent python version installed (do a `pip install openai` to prove to yourself it works), make sure wifi works and you can add a hotspot

What you will learn:
– how neural networks work by creating a simple one, training it and observing its operation, “thought by thought”
– the main attack classes, from black box (chat/training data), grey box (API access) to white box (access to the training and/or inference environment)
– how to use an AI playground to rapidly explore and experiment with new AI models, including testing prompt injection and exploring safety layers
– how to quickly fine-tune base models to accomplish specific tasks whilst defending against prompt injection
– how to build and test security use cases with popular AIs, including from OpenAI and hosted Open Source AIs
– use AI to generate project ideas for further practice to develop your skills