Machine-generated text: A comprehensive survey of threat models and detection methods

EN Crothers, N Japkowicz, HL Viktor - IEEE Access, 2023 - ieeexplore.ieee.org
Machine-generated text is increasingly difficult to distinguish from text authored by humans.
Powerful open-source models are freely available, and user-friendly tools that democratize …

Chatgpt for cybersecurity: practical applications, challenges, and future directions

M Al-Hawawreh, A Aljuhani, Y Jararweh - Cluster Computing, 2023 - Springer
Artificial intelligence (AI) advancements have revolutionized many critical domains by
providing cost-effective, automated, and intelligent solutions. Recently, ChatGPT has …

The science of detecting llm-generated text

R Tang, YN Chuang, X Hu - Communications of the ACM, 2024 - dl.acm.org
ACM: Digital Library: Communications of the ACM ACM Digital Library Communications of the
ACM Volume 67, Number 4 (2024), Pages 50-59 The Science of Detecting LLM-Generated Text …

Targeted phishing campaigns using large scale language models

R Karanjai - ar** review
T Rahman, R Rohan, D Pal… - Proceedings of the 12th …, 2021 - dl.acm.org
Humans are often considered to be the weakest link in the cybersecurity chain. However,
traditionally the Computer Science (CS) researchers have investigated the technical aspects …

Users really do respond to smishing

ML Rahman, D Timko, H Wali, A Neupane - Proceedings of the …, 2023 - dl.acm.org
Text phish messages, referred to as Smishing (SMS+ phishing) is a type of social
engineering attack where fake text messages are created, and used to lure users into …

Understanding phishing email processing and perceived trustworthiness through eye tracking

J McAlaney, PJ Hills - Frontiers in Psychology, 2020 - frontiersin.org
Social engineering attacks in the form of phishing emails represent one of the biggest risks
to cybersecurity. There is a lack of research on how the common elements of phishing …

An empirical study of ai generated text detection tools

A Akram - ar** robust detection models against phishing emails has long been the main
concern of the cyber defense community. Currently, public phishing/legitimate datasets lack …