Adversarial Attacks

Adversarial attacks are a type of model security concern where an attacker tries to create a problematic input that creates negative consequences. It is, in a way, reverse-engineering the model itself.

Adversarial attacks

Any kind of model can be attacked in this way. From image to tabular data, adversarial attacks represent a real concern for algorithm builders. Let’s consider a few examples.

Text-based data

Text is all the rage now, especially with generative AI and LLMs entering the fray. However, text is one of the easiest vehicles for adversarial attacks because of its complexity and an algorithm’s inherent necessity to allow for some “fuzziness” in the ...