This week's stories show how fast attackers change their tricks, how small mistakes turn into big risks, and how the same old ...

Abstract: Adversarial Imitation Learning (AIL) is an efficient method for autonomous decision-making in reinforcement learning, as it trains policies effectively by imitating expert demonstrations.

Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...

Abstract: Many Web Application Firewalls (WAFs) leverage the OWASP Core Rule Set (CRS) to block incoming malicious requests. The CRS consists of different sets of rules designed by domain experts to ...

👋 Welcome to Awesome Safety-Critical AI - a curated space for practitioners, researchers and engineers committed to building intelligent systems that are as reliable as they are capable. Inspired by ...

ABSTRACT: Early detection of Alzheimer’s disease (AD) is critical for intervention and monitoring. Spontaneous speech is a rich behavioural signal of cognitive decline, yet many machine-learning ...