15 citations · 30 across the 23 of their papers we have counts for
6 papers · 1 filter
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…