the Monarch of Meat announced a campaign that takes advantage of some sloppy sign recognition in the Tesla Autopilot’s Traffic Light and Stop Sign control, specifically in instances where the Tesla confuses a Burger King sign for a stop sign (maybe a “traffic control” sign?) and proceeds to stop the car, leaving the occupants of Read more about Burger King Is Leveraging Tesla Autopilot’s Confusion To Sell Whoppers[…]

Sponge Examples: Energy-Latency Attacks on Neural Networks shows how to find adversarial examples that cause a DNN to burn more energy, take more time, or both. They affect a wide range of DNN applications, from image recognition to natural language processing (NLP). Adversaries might use these examples for all sorts of mischief – from draining Read more about How to jam neural networks[…]

We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training. Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet Read more about OpenAI GPT-2 creates credible texts from minimal input[…]