fication lost in peril sometimes they finally let's look at virtual art whistle training so in adversarial training you're create using this fast sine gradient method where you basically calculate the gradient of your input image basically the gradient of your output with respect your input image this is a huge dimensional vector or matrix depending on what your input is and you move your input in the direction where you basically get this gradient you get this sign and you move your input in a small epsilon in that