Voice authentication has evolved from traditional systems based on hand-engineered acoustic features to deep learning models that learn speaker representations directly from audio. This progress has improved accuracy, but it has also opened new attack surfaces. Prior surveys treat these threats in isolation; we inste...
The benchmark provides condition definitions, analysis scripts, and explicit requirements for interpretable compound-condition comparisons, while separating recomputable summaries from claims that require further experimental validation.
A comprehensive review of the modern threat landscape targeting Voice Authentication Systems (VAS) and Anti-Spoofing Countermeasures (CMs), including data poisoning, adversarial, deepfake, and adversarial spoofing attacks is presented.
