15 citations · 30 across the 23 of their papers we have counts for
23 papers
Time Capsule of Testable Human Knowledge: 41 Years of Jeopardy! in a Single Free Local Model
David Noever, Forrest McKee
In 2011, IBM's Watson was something like a sealed capsule of its era's queryable knowledge. Its DeepQA system defeated the strongest human Jeopardy! champions, but the knowledge th…
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…
Moravec's Paradox: Towards an Auditory Turing Test
David Noever, Forrest McKee
This research work demonstrates that current AI systems fail catastrophically on auditory tasks that humans perform effortlessly. Drawing inspiration from Moravec's paradox (i.e.,…
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…
Can AI Freelancers Compete? Benchmarking Earnings, Reliability, and Task Success at Scale
David Noever, Forrest McKee
This study explores Large Language Models (LLMs) as autonomous agents for real-world tasks, including freelance software development. This work presents a new benchmark that evalua…
Alpha Excel Benchmark
David Noever, Forrest McKee
This study presents a novel benchmark for evaluating Large Language Models (LLMs) using challenges derived from the Financial Modeling World Cup (FMWC) Excel competitions. We intro…
Forbidden Science: Dual-Use AI Challenge Benchmark and Scientific Refusal Tests
David Noever, Forrest McKee
The development of robust safety benchmarks for large language models requires open, reproducible datasets that can measure both appropriate refusal of harmful content and potentia…
Dueling QR Codes: The Hyding of Dr. Jeckyl
David Noever, Forrest McKee
The paper presents a novel technique for encoding dual messages within standard Quick Response (QR) codes through precise half-pixel module splitting. This work challenges fundamen…
AirTag, You're It: Reverse Logistics and Last Mile Dynamics
David Noever, Forrest McKee
This study addresses challenges in reverse logistics, a frequently overlooked but essential component of last-mile delivery, particularly in disaster relief scenarios where infrast…
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…
Novel AI Camera Camouflage: Face Cloaking Without Full Disguise
David Noever, Forrest McKee
This study demonstrates a novel approach to facial camouflage that combines targeted cosmetic perturbations and alpha transparency layer manipulation to evade modern facial recogni…
The Impossible Test: A 2024 Unsolvable Dataset and A Chance for an AGI Quiz
David Noever, Forrest McKee
This research introduces a novel evaluation framework designed to assess large language models' (LLMs) ability to acknowledge uncertainty on 675 fundamentally unsolvable problems.…
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…
Safeguarding Voice Privacy: Harnessing Near-Ultrasonic Interference To Protect Against Unauthorized Audio Recording
Forrest McKee, David Noever
The widespread adoption of voice-activated systems has modified routine human-machine interaction but has also introduced new vulnerabilities. This paper investigates the susceptib…
Exploiting Alpha Transparency In Language And Vision-Based AI Systems
David Noever, Forrest McKee
This investigation reveals a novel exploit derived from PNG image file formats, specifically their alpha transparency layer, and its potential to fool multiple AI vision systems. O…
Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception
Forrest McKee, David Noever
This paper investigates a novel algorithmic vulnerability when imperceptible image layers confound multiple vision models into arbitrary label assignments and captions. We explore…
Acoustic Cybersecurity: Exploiting Voice-Activated Systems
Forrest McKee, David Noever
In this study, we investigate the emerging threat of inaudible acoustic attacks targeting digital voice assistants, a critical concern given their projected prevalence to exceed th…
Adversarial Agents For Attacking Inaudible Voice Activated Devices
Forrest McKee, David Noever
The paper applies reinforcement learning to novel Internet of Thing configurations. Our analysis of inaudible attacks on voice-activated devices confirms the alarming risk factor o…
NUANCE: Near Ultrasound Attack On Networked Communication Environments
Forrest McKee, David Noever
This study investigates a primary inaudible attack vector on Amazon Alexa voice services using near ultrasound trojans and focuses on characterizing the attack surface and examinin…
Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models
David Noever, Forrest McKee
Large language models (LLM) such as OpenAI's ChatGPT and GPT-3 offer unique testbeds for exploring the translation challenges of turning literacy into numeracy. Previous publicly-a…
Chatbots in a Honeypot World
Forrest McKee, David Noever
Question-and-answer agents like ChatGPT offer a novel tool for use as a potential honeypot interface in cyber security. By imitating Linux, Mac, and Windows terminal commands and p…
Chatbots as Problem Solvers: Playing Twenty Questions with Role Reversals
David Noever, Forrest McKee
New chat AI applications like ChatGPT offer an advanced understanding of question context and memory across multi-step tasks, such that experiments can test its deductive reasoning…
Chatbots in a Botnet World
Forrest McKee, David Noever
Question-and-answer formats provide a novel experimental platform for investigating cybersecurity questions. Unlike previous chatbots, the latest ChatGPT model from OpenAI supports…