Zero-query adversarial attack on black-box automatic speech recognition systems
In recent years, extensive research has been conducted on the vulnerability of ASR systems,
revealing that black-box adversarial example attacks pose significant threats to real-world …
revealing that black-box adversarial example attacks pose significant threats to real-world …
Can I hear your face? pervasive attack on voice authentication systems with a single face image
We present Foice, a novel deepfake attack against voice authentication systems. Foice
generates a synthetic voice of the victim from just a single image of the victim's face, without …
generates a synthetic voice of the victim from just a single image of the victim's face, without …
Adversarial attacks on autonomous driving systems in the physical world: a survey
Autonomous Driving Systems (ADS) represent a revolutionary advancement in
transportation and offer unprecedented safety and convenience. Real-world physical attacks …
transportation and offer unprecedented safety and convenience. Real-world physical attacks …
Adversarial attacks on automatic speech recognition (ASR): A survey
AR Bhanushali, H Mun, J Yun - IEEE Access, 2024 - ieeexplore.ieee.org
Automatic Speech Recognition (ASR) systems have improved and eased how humans
interact with devices. ASR system converts an acoustic waveform into the relevant text form …
interact with devices. ASR system converts an acoustic waveform into the relevant text form …
Transferable adversarial attacks against asr
Given the extensive research and real-world applications of automatic speech recognition
(ASR), ensuring the robustness of ASR models against minor input perturbations becomes a …
(ASR), ensuring the robustness of ASR models against minor input perturbations becomes a …
AdvReverb: Rethinking the Stealthiness of Audio Adversarial Examples to Human Perception
As one of the most representative applications built on deep learning, audio systems,
including keyword spotting, automatic speech recognition, and speaker identification, have …
including keyword spotting, automatic speech recognition, and speaker identification, have …
Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer
In light of the widespread application of Automatic Speech Recognition (ASR) systems, their
security concerns have received much more attention than ever before, primarily due to the …
security concerns have received much more attention than ever before, primarily due to the …
Adversarial Attack and Defense for Commercial Black-box Chinese-English Speech Recognition Systems
The attacker can generate adversarial examples (AEs) to stealthily mislead automatic
speech recognition (ASR) models, raising significant concerns about the security of …
speech recognition (ASR) models, raising significant concerns about the security of …
Toward Robust ASR System against Audio Adversarial Examples using Agitated Logit
Automatic speech recognition (ASR) systems are vulnerable to audio adversarial examples,
which aim to deceive ASR systems by adding perturbations to benign speech signals. These …
which aim to deceive ASR systems by adding perturbations to benign speech signals. These …
GWO-GEA: A Black-box Method for Generating Audio Adversarial Examples
Z Wang, X Xu, X Wang, H Zhou - 2024 9th International …, 2024 - ieeexplore.ieee.org
In the context of launching adversarial assaults on Automatic Speech Recognition (ASR)
systems, the intricacies of the target model, including its architecture and parameters, remain …
systems, the intricacies of the target model, including its architecture and parameters, remain …