Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward
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 …
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
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 …
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …
[HTML][HTML] Ethical hacking for IoT: Security issues, challenges, solutions and recommendations
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 …
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
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 …
content poses a significant threat to the trust of society, political stability, and integrity of …
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 …
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …
Audio deepfake detection: A survey
Audio deepfake detection is an emerging active topic. A growing number of literatures have
aimed to study deepfake detection algorithms and achieved effective performance, the …
aimed to study deepfake detection algorithms and achieved effective performance, the …
Voice spoofing detection through residual network, max feature map, and depthwise separable convolution
The goal of the “2019 Automatic Speaker Verification Spoofing and Countermeasures
Challenge”(ASVspoof) was to make it easier to create systems that could identify voice …
Challenge”(ASVspoof) was to make it easier to create systems that could identify voice …
Twice attention networks for synthetic speech detection
C Chen, Y Song, B Dai, D Chen - Neurocomputing, 2023 - Elsevier
Automatic speaker verification (ASV) systems are highly vulnerable to synthetic speech
attack. And the artifacts are the key spoofing clue to distinguish real and synthetic speech. In …
attack. And the artifacts are the key spoofing clue to distinguish real and synthetic speech. In …
Physiological-physical feature fusion for automatic voice spoofing detection
J Xue, H Zhou - Frontiers of Computer Science, 2023 - Springer
Biometric speech recognition systems are often subject to various spoofing attacks, the most
common of which are speech synthesis and speech conversion attacks. These spoofing …
common of which are speech synthesis and speech conversion attacks. These spoofing …
Efficient attention branch network with combined loss function for automatic speaker verification spoof detection
AM Rostami, MM Homayounpour… - Circuits, Systems, and …, 2023 - Springer
Many endeavors have sought to develop countermeasure techniques as enhancements on
Automatic Speaker Verification (ASV) systems, in order to make them more robust against …
Automatic Speaker Verification (ASV) systems, in order to make them more robust against …