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20222026
most citedChatbots in a Honeypot World

15 citations · 30 across the 23 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CR2023

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…

cs.LG2023

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…

cs.CR2023

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…

cs.CL2023★ 12 cited

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…

cs.CR2023★ 15 cited

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…

cs.AI2023★ 2 cited

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…