Wieland BrendelinBethgelabAccurate, reliable and fast robustness evaluationA novel class of adversarial attacks that can determine the robustness of machine learning models with greater accuracy and reliability.Jan 16, 2020Jan 16, 2020
Wieland BrendelinBethgelabNeural Networks seem to follow a puzzlingly simple strategy to classify imagesThis explains a range of observations, leads to more interpretable models and suggests novel avenues towards human-like perception.Feb 6, 201921Feb 6, 201921
Wieland BrendelinBethgelabResults of the NIPS Adversarial Vision Challenge 2018The winners of this year’s NIPS Adversarial Vision Challenge have been determined. This year the competition focused on a real-world…Nov 9, 2018Nov 9, 2018
Wieland BrendelinLayer7 AIDetecting overhyped Artificial Intelligence solutionsAs a non-expert, it’s often difficult to detect whether a commercial AI solution is legitimate or bogus. Here are a few tips to find out.Nov 7, 2018Nov 7, 2018
Wieland BrendelinBethgelabAI still fails on robust handwritten digit recognition (and how to fix it)Deep Learning has been praised to solve everything from self-driving cars to the world-climate. And yet, deep neural networks (the…Sep 21, 20181Sep 21, 20181
Wieland BrendelReading list for the NIPS 2018 Adversarial Vision ChallengeThe Adversarial Vision Challenge at NIPS 2018 has recently started and will run until November 1st. A key ingredient of the challenge is…Jul 25, 2018Jul 25, 2018