papers in adversarial machine learning — natural language processing

A few weeks ago, Meta AI announced Galactica, a large language model (LLM) built for scientific work. Just for fun I asked it to write a blog post about adversarial machine learning. Galactica doesn't get anything obviously wrong, but repeats itself a lot, is fairly light on details, and makes tautological arguments.

Sometimes, you need to send encrypted information, but also keep the fact that you are sending it a secret. Hiding secrets in regular data like this is called steganography, and it's cooler than it sounds, unless you are super into stegosaurus, and then it is exactly as cool as it sounds. With a few tweaks, you can use adversarial watermarking to hide information in normal-looking images and text. See how to do it here.