Adversarial attack and defense strategies of speaker recognition systems: A survey
Speaker recognition is a task that identifies the speaker from multiple audios. Recently,
advances in deep learning have considerably boosted the development of speech signal …
advances in deep learning have considerably boosted the development of speech signal …
The defender's perspective on automatic speaker verification: An overview
Automatic speaker verification (ASV) plays a critical role in security-sensitive environments.
Regrettably, the reliability of ASV has been undermined by the emergence of spoofing …
Regrettably, the reliability of ASV has been undermined by the emergence of spoofing …
Lmd: A learnable mask network to detect adversarial examples for speaker verification
Although the security of automatic speaker verification (ASV) is seriously threatened by
recently emerged adversarial attacks, there have been some countermeasures to alleviate …
recently emerged adversarial attacks, there have been some countermeasures to alleviate …
Time-domain speech super-resolution with gan based modeling for telephony speaker verification
Automatic Speaker Verification (ASV) technology has become commonplace in virtual
assistants. However, its performance suffers when there is a mismatch between the train and …
assistants. However, its performance suffers when there is a mismatch between the train and …
Unraveling Adversarial Examples against Speaker Identification--Techniques for Attack Detection and Victim Model Classification
Adversarial examples have proven to threaten speaker identification systems, and several
countermeasures against them have been proposed. In this paper, we propose a method to …
countermeasures against them have been proposed. In this paper, we propose a method to …
[PDF][PDF] VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks
Abstract Automatic Speaker Verification (ASV) is extensively used in many security-sensitive
domains, but the increasing prevalence of adversarial attacks has seriously compromised …
domains, but the increasing prevalence of adversarial attacks has seriously compromised …
From Attack to Defense: Strengthening DNN Text Classification Against Adversarial Examples
M Omar - Innovations, Securities, and Case Studies Across …, 2024 - igi-global.com
In recent academic discussions surrounding the textual domain, there has been significant
attention directed towards adversarial examples. Despite this focus, the area of detecting …
attention directed towards adversarial examples. Despite this focus, the area of detecting …
Building Trust in Deepfake Detection: A Survey of Adversarial and Anti-forensic Attacks and Defensive Strategies
As the technology behind deepfakes advances, detecting audiovisual deepfakes becomes
more and more crucial, and the rise of traditional and generative AI-based adversarial/anti …
more and more crucial, and the rise of traditional and generative AI-based adversarial/anti …
Robust Speaker Recognition using Perceptual and Adversarial Speech Enhancement
S Kataria - 2023 - jscholarship.library.jhu.edu
Abstract In Automatic Speaker Verification (ASV), we determine whether the speaker in the
test utterance is identical to the previously enrolled speaker. Deep learning has significantly …
test utterance is identical to the previously enrolled speaker. Deep learning has significantly …
[PDF][PDF] Countermeasures against Adversarial Attacks on Speech Technologies
S Joshi - isca-students.org
With proliferation of speech technologies in everyday life, their security becomes of utmost
importance. Recently, researchers have found stealthy and almost human-imperceptible …
importance. Recently, researchers have found stealthy and almost human-imperceptible …