Media Summary: In this week's episode, our host Kyle interviews Gokula Krishnan from ETH Zurich, about his recent contributions to The application of AI algorithms in domains such as self-driving cars, facial recognition, and hiring holds great promise. Welcome to the fascinating and critical world of
Defending Against Adversarial Model Attacks - Detailed Analysis & Overview
In this week's episode, our host Kyle interviews Gokula Krishnan from ETH Zurich, about his recent contributions to The application of AI algorithms in domains such as self-driving cars, facial recognition, and hiring holds great promise. Welcome to the fascinating and critical world of We'll discuss several strategies to make machine learning Project Webpage: Existing neural networks for computer vision tasks are vulnerable to Don't miss out! Join us at our next event: KubeCon + CloudNativeCon Europe 2022 in Valencia, Spain from May 17-20.
Building robust machine learning models - Defending against adversarial attacks In this informative video, we'll delve into the cutting-edge strategies to Defending Against Adversarial Model Attacks Day 83 of the MLOps Engineering Series explores the hidden battlefield of AI Security — Machine Learning technology isn't perfect, it's vulnerable to many different types of