Abstract: The rapid development of Retrieval-Augmented Generation (RAG) systems has addressed critical limitations in large language models (LLMs), including factual hallucinations, knowledge ...
Zen-AI-Pentest is an autonomous, AI-driven penetration testing framework that combines cutting-edge large language models with 72+ professional security tools. Built for security professionals, bug ...
This is the companion repository of the paper A Linguistically Motivated Automated Testing Framework For ASR Accent-Robustness, by Margot Masson, Thomas Laurent and Anthony Ventresque, accepted for ...
AI vs AI cybersecurity arrived in documented form on May 10, when an LLM agent drove a four-pivot intrusion to database exfiltration in under an hour with no human direction. CrowdStrike data puts ...
Abstract: Modern smart home HMIs (Human-Machine Interfaces) are highly complex. Traditional testing methods depend on predefined coordinates and rigid fixtures. Consequently, these approaches suffer ...
Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results