Probing the Boundaries: A Comprehensive Analysis of AI Red-Teaming and Adversarial Robustness

Executive Summary This report provides a comprehensive analysis of the critical security practices of AI red-teaming and the pursuit of adversarial robustness. As artificial intelligence systems become more deeply integrated Read More …

Adversarial Robustness through Certified Defenses: Provable Guarantees for AI in Safety-Critical Systems

The Imperative for Provable Guarantees in Safety-Critical AI The rapid integration of Artificial Intelligence (AI), particularly machine learning (ML) models, into the core operational fabric of society marks a paradigm Read More …

Adversarial Robustness in Machine Learning: A Comprehensive Analysis of Threats, Defenses, and the Path to Trustworthy AI

Section I: The Imperative of Robustness in Machine Learning As machine learning (ML) models become increasingly integrated into the fabric of society, powering critical systems from autonomous vehicles to medical Read More …