papers in adversarial machine learning — steganography

Training adversarially robust machine learning models can be expensive. Instead, you can use a set of steganalysis approaches to detect malicious inputs before they hit your model. This reduces the cost of deployment and training while still promoting AI safety.

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.