Name: AI Insecurity - An Introduction to Attacking AI and Machine Learning Models
Start: 2024-09-26T10:00:00-04:00
End: 2024-09-26T14:00:00-04:00
Location: DeVos Place

AI Insecurity - An Introduction to Attacking AI and Machine Learning Models

During this 4-hour escapade, you will explore adversarial ML techniques, from exploiting the models to bypassing their predictions.
About this Event

Get ready to flip the script on the machines! During this 4-hour escapade, you will explore adversarial ML techniques, from exploiting the models to bypassing their predictions. We'll start from scratch to teach you how to turn the tables on ML models. No prior adversarial ML experience needed!

Pre-reqs and requirements:

• Attendees must bring a laptop with wireless connection capabilities.

• Attendees will need a laptop with an internet connection and the ability to run a Jupyter notebook via a local Jupyter instance, Visual Studio Code, Google Colab, or similar setup.

• This session is intended for people who are tasked with testing the robustness and security of their machine learning systems. While no background in machine learning will be necessary, experience with writing python code is highly recommended.