May 21, 2020 · In this study, we aim to exploit this weakness to perform targeted adversarial attacks against the x-vector based speaker recognition system. We ...
Abstract. Speaker recognition is a popular topic in biometric authen- tication and many deep learning approaches have achieved ex- traordinary performances.
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We propose to generate inaudible adversarial perturbations achieving targeted white-box attacks to speaker recognition system based on the psychoacoustic ...
We propose to generate inaudible adversarial perturbations achieving targeted white-box attacks to speaker recognition system based on the psychoacoustic ...
... Li et al. [27] launched a practical and systematic adversarial attack against speaker recognition systems and integrated the estimated room impulse response ...
May 21, 2020 · This study proposes to generate inaudible adversarial perturbations achieving targeted white-box attacks to speaker recognition system based ...
We propose VRIFLE, an inaudible adversarial perturbation (IAP) attack via ultrasound delivery that can manipulate ASRs as a user speaks. The inherent ...
Missing: Speaker | Show results with:Speaker
... Inaudible adversarial perturbations for targeted attack in speaker recognition ... Attacks: Benchmarking Adversarial Robustness in Speaker Verification ...
Adversarial attacks and defenses in Speaker Recognition Systems
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Adversarial attacks mean that an adversary utilizes adversarial examples, which are generated by adding small perturbations, i.e., adversarial perturbations, ...
Aug 2, 2023 · In this paper, we seek to bridge the gap in existing research and extend the attack to user-present scenarios. We propose VRIFLE, an inaudible ...