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In this screencast we're going to look at some features we are working on for the next version of netifera. The two main things we're going to demonstrate are geographical visualization and the netifera probe which is a deployable software agent that makes it possible to run all netifera platform tools remotely as easily as running them locally.

Data poisoning is a type of adversarial attack where attackers tamper with the data used to train machine learning models. Unlike prompt injection or evasion attacks, it targets the model before deployment. The attacker adds misleading or harmful data to the training set to change how the model behaves.

An adversarial attack happens when someone gives a machine learning model misleading input to fool it. These inputs are referred to as adversarial examples. They look entirely normal to the human eye. But they are specifically designed to mislead the AI.