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 …
Attacks and defenses in user authentication systems: A survey
X Wang, Z Yan, R Zhang, P Zhang - Journal of Network and Computer …, 2021 - Elsevier
User authentication systems (in short authentication systems) have wide utilization in our
daily life. Unfortunately, existing authentication systems are prone to various attacks while …
daily life. Unfortunately, existing authentication systems are prone to various attacks while …
End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detection
Artefacts that serve to distinguish bona fide speech from spoofed or deepfake speech are
known to reside in specific subbands and temporal segments. Various approaches can be …
known to reside in specific subbands and temporal segments. Various approaches can be …
ASVspoof 2017 Version 2.0: meta-data analysis and baseline enhancements
The now-acknowledged vulnerabilities of automatic speaker verification (ASV) technology to
spoofing attacks have spawned interests to develop so-called spoofing countermeasures …
spoofing attacks have spawned interests to develop so-called spoofing countermeasures …
Advances in anti-spoofing: from the perspective of ASVspoof challenges
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 …
This leads to an increased interest to secure these voice biometric systems for real-world …
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 …
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 …
Voice spoofing detector: A unified anti-spoofing framework
Voice controlled systems (VCS) in Internet of Things (IoT), speaker verification systems,
voice-based biometrics, and other voice-assistant-enabled systems are vulnerable to …
voice-based biometrics, and other voice-assistant-enabled systems are vulnerable to …
Ensemble models for spoofing detection in automatic speaker verification
Detecting spoofing attempts of automatic speaker verification (ASV) systems is challenging,
especially when using only one modeling approach. For robustness, we use both deep …
especially when using only one modeling approach. For robustness, we use both deep …
Spoofing attack detection using the non-linear fusion of sub-band classifiers
The threat of spoofing can pose a risk to the reliability of automatic speaker verification.
Results from the bi-annual ASVspoof evaluations show that effective countermeasures …
Results from the bi-annual ASVspoof evaluations show that effective countermeasures …