Search Results for author: Forrest McKee

Found 9 papers, 0 papers with code

Exploiting Alpha Transparency In Language And Vision-Based AI Systems

no code implementations15 Feb 2024 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.

Autonomous Driving

Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception

no code implementations29 Jan 2024 Forrest McKee, David Noever

A notable attack limitation stems from its dependency on the background (hidden) layer in grayscale as a rough match to the transparent foreground image that the human eye perceives.

Acoustic Cybersecurity: Exploiting Voice-Activated Systems

no code implementations23 Nov 2023 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 the global population by 2024.

NUANCE: Near Ultrasound Attack On Networked Communication Environments

no code implementations25 Apr 2023 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 examining the practical implications of issuing inaudible voice commands.

Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models

no code implementations31 Jan 2023 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.

Descriptive Feature Importance +2

Chatbots in a Honeypot World

no code implementations10 Jan 2023 Forrest McKee, David Noever

The paper illustrates ten diverse tasks that a conversational agent or large language model might answer appropriately to the effects of command-line attacker.

Language Modelling Large Language Model

Chatbots as Problem Solvers: Playing Twenty Questions with Role Reversals

no code implementations1 Jan 2023 David Noever, Forrest McKee

The research introduces four novel cases where the chatbot fields the questions, asks the questions, both question-answer roles, and finally tries to guess appropriate contextual emotions.

Chatbot

Chatbots in a Botnet World

no code implementations18 Dec 2022 Forrest McKee, David Noever

Question-and-answer formats provide a novel experimental platform for investigating cybersecurity questions.

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