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 …

Security and privacy on generative data in aigc: A survey

T Wang, Y Zhang, S Qi, R Zhao, Z **a… - ACM Computing Surveys, 2024 - dl.acm.org
The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in
the evolution of information technology. With AIGC, it can be effortless to generate high …

Detectgpt: Zero-shot machine-generated text detection using probability curvature

E Mitchell, Y Lee, A Khazatsky… - International …, 2023 - proceedings.mlr.press
The increasing fluency and widespread usage of large language models (LLMs) highlight
the desirability of corresponding tools aiding detection of LLM-generated text. In this paper …

How close is chatgpt to human experts? comparison corpus, evaluation, and detection

B Guo, X Zhang, Z Wang, M Jiang, J Nie, Y Ding… - arxiv preprint arxiv …, 2023 - arxiv.org
The introduction of ChatGPT has garnered widespread attention in both academic and
industrial communities. ChatGPT is able to respond effectively to a wide range of human …

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 …

Identifying and mitigating the security risks of generative ai

C Barrett, B Boyd, E Bursztein, N Carlini… - … and Trends® in …, 2023 - nowpublishers.com
Every major technical invention resurfaces the dual-use dilemma—the new technology has
the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, such …

Intrinsic dimension estimation for robust detection of ai-generated texts

E Tulchinskii, K Kuznetsov… - Advances in …, 2023 - proceedings.neurips.cc
Rapidly increasing quality of AI-generated content makes it difficult to distinguish between
human and AI-generated texts, which may lead to undesirable consequences for society …

Can chatgpt reproduce human-generated labels? a study of social computing tasks

Y Zhu, P Zhang, EU Haq, P Hui, G Tyson - arxiv preprint arxiv:2304.10145, 2023 - arxiv.org
The release of ChatGPT has uncovered a range of possibilities whereby large language
models (LLMs) can substitute human intelligence. In this paper, we seek to understand …

Combining efficientnet and vision transformers for video deepfake detection

DA Coccomini, N Messina, C Gennaro… - … conference on image …, 2022 - Springer
Deepfakes are the result of digital manipulation to forge realistic yet fake imagery. With the
astonishing advances in deep generative models, fake images or videos are nowadays …

The creation and detection of deepfakes: A survey

Y Mirsky, W Lee - ACM computing surveys (CSUR), 2021 - dl.acm.org
Generative deep learning algorithms have progressed to a point where it is difficult to tell the
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …