18 citations · 18 across the 2 of their papers we have counts for
6 papers · 1 filter
Rendering on Real Silicon: GPU Render-Timing as a Passive, AI-Resistant CAPTCHA Signal
David Noever, Forrest McKee
Conventional CAPTCHAs pose puzzles that modern AI systems increasingly solve, while behavioral and cryptographic-attestation defenses carry privacy or enrollment costs. We investig…
Servant, Stalker, Predator: How An Honest, Helpful, And Harmless (3H) Agent Unlocks Adversarial Skills
David Noever
This paper identifies and analyzes a novel vulnerability class in Model Context Protocol (MCP) based agent systems. The attack chain describes and demonstrates how benign, individu…
Favicon Trojans: Executable Steganography Via Ico Alpha Channel Exploitation
David Noever, Forrest McKee
This paper presents a novel method of executable steganography using the alpha transparency layer of ICO image files to embed and deliver self-decompressing JavaScript payloads wit…
Infecting Generative AI With Viruses
David Noever, Forrest McKee
This study demonstrates a novel approach to testing the security boundaries of Vision-Large Language Model (VLM/ LLM) using the EICAR test file embedded within JPEG images. We succ…
Language Models And A Second Opinion Use Case: The Pocket Professional
David Noever
This research tests the role of Large Language Models (LLMs) as formal second opinion tools in professional decision-making, particularly focusing on complex medical cases where ev…
Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders
David Noever, Forrest McKee
The research builds and evaluates the adversarial potential to introduce copied code or hallucinated AI recommendations for malicious code in popular code repositories. While found…