Printf debugging is essential, so since we’re going to do it anyways, let’s do it fast. In this post we’ll focus specifically on how to write printf debugging log lines to make them fast to read and write programs against. There’s two important features: a machine parsable format like json or DSV and explicitly labeled fields.
Source: Printf Debugging, an article by Tyler Adams.
This post is my attempt at boiling all of it down to one single recommendation that worked out really well for me while also telling you about my process to get there. Keep into account that I’ve just been running one virtual private server and this strategy has worked out really well for me so far.
Source: Pragmatic Guide to Backup and Restore a VPS, an article by Joey Kaan.
Deep neural networks (DNNs) have been a very active field of research for eight years now, and for the last five we’ve seen a steady stream of adversarial examples – inputs that will bamboozle a DNN so that it thinks a 30mph speed limit sign is a 60 instead, and even magic spectacles to make a DNN get the wearer’s gender wrong.
So far, these attacks have targeted the integrity or confidentiality of machine-learning systems. Can we do anything about availability?
Source: How to jam neural networks, an article by Ross Anderson.