AdvML: AI’s Achilles Heel

As AI applications proliferate across industries and sectors, two key security questions arise: Are these AI applications cyber-secure? Can bad actors exploit them through attacks? A recent article discusses these questions in relation to AI’s Achilles’ heel: adversarial machine learning (AdvML). In “Lights Toward Adversarial Machine Learning: The Achilles’ Heel of Artificial Intelligence,” authors Luca Pajola and Mauro Conti take a cybersecurity practitioner’s viewpoint as they discuss the full range of AI application threats from the systems and libraries used to deploy an AI application, to threats arising in the AI application itself. Here, we offer a quick overview of Pajola and Conti’s detailed look at AdvML and how it might best serve the needs of AI users today and in the future. AdvML: Analyzing Adversaries and Entry Points AI is increasingly deployed in high-risk applications—from “driving” autonomous taxis to directing armed drones to human targets—and having securi ... Read full article.