Microsoft

Guarding AI memory

Microsoft takes a defense-in-depth approach to protect AI memory spanning every layer of the stack: storage, retrieval, model ...
Security Boulevard

When AI Agents Become Bots: A Field Report from the Authentication Layer

Security vendors and their customers have spent considerable time debating where to draw the line between “legitimate” AI agents and “malicious” bots. A 31-day campaign against a major consumer ...
Tom's Hardware on MSN

Hades malware campaign now tricks AI bots by injecting text about biological and nuclear weapons

This is probably the dictionary illustration for "deceptively simple." ...
IEEE

Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective

Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...
IEEE

Adversarial Machine Learning: A 20-Year Survey of Attacks, Defenses, and Standards

Abstract: Adversarial Machine Learning (AML) presents a significant barrier to the large-scale deployment of Artificial Intelligence (AI) in safety-critical environments. While early research focused ...