Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward

M Masood, M Nawaz, KM Malik, A Javed, A Irtaza… - Applied …, 2023 - Springer
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

Battling voice spoofing: a review, comparative analysis, and generalizability evaluation of state-of-the-art voice spoofing counter measures

A Khan, KM Malik, J Ryan, M Saravanan - Artificial Intelligence Review, 2023 - Springer
With the advent of automated speaker verification (ASV) systems comes an equal and
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …

A comparative study on recent neural spoofing countermeasures for synthetic speech detection

X Wang, J Yamagishi - arxiv preprint arxiv:2103.11326, 2021 - arxiv.org
A great deal of recent research effort on speech spoofing countermeasures has been
invested into back-end neural networks and training criteria. We contribute to this effort with …

ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech

A Nautsch, X Wang, N Evans… - … and Identity Science, 2021 - ieeexplore.ieee.org
The ASVspoof initiative was conceived to spearhead research in anti-spoofing for automatic
speaker verification (ASV). This paper describes the third in a series of bi-annual …

[HTML][HTML] Ethical hacking for IoT: Security issues, challenges, solutions and recommendations

JPA Yaacoub, HN Noura, O Salman… - Internet of Things and …, 2023 - Elsevier
In recent years, attacks against various Internet-of-Things systems, networks, servers,
devices, and applications witnessed a sharp increase, especially with the presence of 35.82 …

A survey on the detection and impacts of deepfakes in visual, audio, and textual formats

R Mubarak, T Alsboui, O Alshaikh, I Inuwa-Dutse… - Ieee …, 2023 - ieeexplore.ieee.org
In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual
content poses a significant threat to the trust of society, political stability, and integrity of …

ASSERT: Anti-spoofing with squeeze-excitation and residual networks

CI Lai, N Chen, J Villalba, N Dehak - arxiv preprint arxiv:1904.01120, 2019 - arxiv.org
We present JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with
Squeeze-Excitation and Residual neTworks (ASSERT). Anti-spoofing has gathered more …

Wavefake: A data set to facilitate audio deepfake detection

J Frank, L Schönherr - arxiv preprint arxiv:2111.02813, 2021 - arxiv.org
Deep generative modeling has the potential to cause significant harm to society.
Recognizing this threat, a magnitude of research into detecting so-called" Deepfakes" has …

Advances in anti-spoofing: from the perspective of ASVspoof challenges

MR Kamble, HB Sailor, HA Patil, H Li - APSIPA Transactions on …, 2020 - cambridge.org
In recent years, automatic speaker verification (ASV) is used extensively for voice biometrics.
This leads to an increased interest to secure these voice biometric systems for real-world …

Audio deepfakes: A survey

Z Khanjani, G Watson, VP Janeja - Frontiers in Big Data, 2023 - frontiersin.org
A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …