The One-Pixel Threat: How Minuscule Changes Can Fool Deep Learning Systems

AI vulnerabilities: From medical diagnostics to autonomous vehicles, discover how changing a single pixel can compromise advanced deep learning models and explore the critical challenges to securing our AI-powered future.

Introduction

Deep learning (DL) is a fundamental component of Artificial Intelligence (AI). It aims to enable machines to perform tasks that require decision-making mechanisms that tend to approximate those of human reasoning. DL models are at the heart of many advanced applications, such as medical diagnostics and autonomous vehicle driving.

This article has been indexed from DZone Security Zone

Read the original article: