Machine-generated text: A comprehensive survey of threat models and detection methods
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 …
Powerful open-source models are freely available, and user-friendly tools that democratize …
Attribution and obfuscation of neural text authorship: A data mining perspective
Two interlocking research questions of growing interest and importance in privacy research
are Authorship Attribution (AA) and Authorship Obfuscation (AO). Given an artifact …
are Authorship Attribution (AA) and Authorship Obfuscation (AO). Given an artifact …
A survey on LLM-generated text detection: Necessity, methods, and future directions
The remarkable ability of large language models (LLMs) to comprehend, interpret, and
generate complex language has rapidly integrated LLM-generated text into various aspects …
generate complex language has rapidly integrated LLM-generated text into various aspects …
The science of detecting LLM-generated text
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 …
ACM Volume 67, Number 4 (2024), Pages 50-59 The Science of Detecting LLM-Generated Text …
Semeval-2024 task 8: Multidomain, multimodel and multilingual machine-generated text detection
We present the results and the main findings of SemEval-2024 Task 8: Multigenerator,
Multidomain, and Multilingual Machine-Generated Text Detection. The task featured three …
Multidomain, and Multilingual Machine-Generated Text Detection. The task featured three …
MULTITuDE: Large-scale multilingual machine-generated text detection benchmark
There is a lack of research into capabilities of recent LLMs to generate convincing text in
languages other than English and into performance of detectors of machine-generated text …
languages other than English and into performance of detectors of machine-generated text …
M4gt-bench: Evaluation benchmark for black-box machine-generated text detection
The advent of Large Language Models (LLMs) has brought an unprecedented surge in
machine-generated text (MGT) across diverse channels. This raises legitimate concerns …
machine-generated text (MGT) across diverse channels. This raises legitimate concerns …
Targeted phishing campaigns using large scale language models
R Karanjai - arxiv preprint arxiv:2301.00665, 2022 - arxiv.org
In this research, we aim to explore the potential of natural language models (NLMs) such as
GPT-3 and GPT-2 to generate effective phishing emails. Phishing emails are fraudulent …
GPT-3 and GPT-2 to generate effective phishing emails. Phishing emails are fraudulent …
Multiscale positive-unlabeled detection of ai-generated texts
Y Tian, H Chen, X Wang, Z Bai, Q Zhang, R Li… - arxiv preprint arxiv …, 2023 - arxiv.org
Recent releases of Large Language Models (LLMs), eg ChatGPT, are astonishing at
generating human-like texts, but they may impact the authenticity of texts. Previous works …
generating human-like texts, but they may impact the authenticity of texts. Previous works …
Authorship obfuscation in multilingual machine-generated text detection
High-quality text generation capability of recent Large Language Models (LLMs) causes
concerns about their misuse (eg, in massive generation/spread of disinformation). Machine …
concerns about their misuse (eg, in massive generation/spread of disinformation). Machine …