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Found 7 papers, 7 papers with code
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems
We present Malafide, a universal adversarial attack against automatic speaker verification (ASV) spoofing countermeasures (CMs).
Can spoofing countermeasure and speaker verification systems be jointly optimised?
Spoofing countermeasure (CM) and automatic speaker verification (ASV) sub-systems can be used in tandem with a backend classifier as a solution to the spoofing aware speaker verification (SASV) task.
On the potential of jointly-optimised solutions to spoofing attack detection and automatic speaker verification
The spoofing-aware speaker verification (SASV) challenge was designed to promote the study of jointly-optimised solutions to accomplish the traditionally separately-optimised tasks of spoofing detection and speaker verification.
Explainable deepfake and spoofing detection: an attack analysis using SHapley Additive exPlanations
Despite several years of research in deepfake and spoofing detection for automatic speaker verification, little is known about the artefacts that classifiers use to distinguish between bona fide and spoofed utterances.
Explaining deep learning models for spoofing and deepfake detection with SHapley Additive exPlanations
Substantial progress in spoofing and deepfake detection has been made in recent years.
Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection
End-to-end approaches to anti-spoofing, especially those which operate directly upon the raw signal, are starting to be competitive with their more traditional counterparts.
Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection
This paper reports the first successful application of a differentiable architecture search (DARTS) approach to the deepfake and spoofing detection problems.
