[HTML][HTML] The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review

I Jada, TO Mayayise - Data and Information Management, 2024 - Elsevier
As digital transformation continues to advance, organisations are becoming increasingly
aware of the benefits that modern technologies offer. However, with greater technology …

Creating, using, misusing, and detecting deep fakes

H Farid - Journal of Online Trust and Safety, 2022 - tsjournal.org
Synthetic media—so-called deep fakes—have captured the imagination of some and struck
fear in others. Although they vary in their form and creation, deep fakes refer to text, image …

[HTML][HTML] Warning: Humans cannot reliably detect speech deepfakes

KT Mai, S Bray, T Davies, LD Griffin - Plos one, 2023 - journals.plos.org
Speech deepfakes are artificial voices generated by machine learning models. Previous
literature has highlighted deepfakes as one of the biggest security threats arising from …

Voicemixer: Adversarial voice style mixup

SH Lee, JH Kim, H Chung… - Advances in Neural …, 2021 - proceedings.neurips.cc
Although recent advances in voice conversion have shown significant improvement, there
still remains a gap between the converted voice and target voice. A key factor that maintains …

Deepfakes as a threat to a speaker and facial recognition: An overview of tools and attack vectors

A Firc, K Malinka, P Hanáček - Heliyon, 2023 - cell.com
Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …

UR channel-robust synthetic speech detection system for ASVspoof 2021

X Chen, Y Zhang, G Zhu, Z Duan - arXiv preprint arXiv:2107.12018, 2021 - arxiv.org
In this paper, we present UR-AIR system submission to the logical access (LA) and the
speech deepfake (DF) tracks of the ASVspoof 2021 Challenge. The LA and DF tasks focus …

A representative study on human detection of artificially generated media across countries

J Frank, F Herbert, J Ricker, L Schönherr… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
AI-generated media has become a threat to our digital society as we know it. Forgeries can
be created automatically and on a large scale based on publicly available technologies …

Pitfalls (and advantages) of sophisticated large language models

A Strasser - Ethics in Online AI-based Systems, 2024 - Elsevier
Natural language processing (NLP) based on large language models (LLMs) is a booming
field of AI research. After neural networks have proven to outperform humans in games and …

[HTML][HTML] Video and audio deepfake datasets and open issues in deepfake technology: being ahead of the curve

Z Akhtar, TL Pendyala, VS Athmakuri - Forensic Sciences, 2024 - mdpi.com
The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

Audio Deepfake Approaches

OA Shaaban, R Yildirim, AA Alguttar - IEEE Access, 2023 - ieeexplore.ieee.org
This paper presents a review of techniques involved in the creation and detection of audio
deepfakes, the first section provides information about general deep fakes. In the second …