Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems
Over the last few years, the adoption of machine learning in a wide range of domains has
been remarkable. Deep learning, in particular, has been extensively used to drive …
been remarkable. Deep learning, in particular, has been extensively used to drive …
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 …
Towards understanding and mitigating audio adversarial examples for speaker recognition
Speaker recognition systems (SRSs) have recently been shown to be vulnerable to
adversarial attacks, raising significant security concerns. In this work, we systematically …
adversarial attacks, raising significant security concerns. In this work, we systematically …
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems
Recent work has illuminated the vulnerability of speaker recognition systems (SRSs) against
adversarial attacks, raising significant security concerns in deploying SRSs. However, they …
adversarial attacks, raising significant security concerns in deploying SRSs. However, they …
Voiceblock: Privacy through real-time adversarial attacks with audio-to-audio models
P O'Reilly, A Bugler, K Bhandari… - Advances in Neural …, 2022 - proceedings.neurips.cc
As governments and corporations adopt deep learning systems to collect and analyze user-
generated audio data, concerns about security and privacy naturally emerge in areas such …
generated audio data, concerns about security and privacy naturally emerge in areas such …
Malacopula: Adversarial automatic speaker verification attacks using a neural-based generalised hammerstein model
We present Malacopula, a neural-based generalised Hammerstein model designed to
introduce adversarial perturbations to spoofed speech utterances so that they better deceive …
introduce adversarial perturbations to spoofed speech utterances so that they better deceive …
Waveform level adversarial example generation for joint attacks against both automatic speaker verification and spoofing countermeasures
X Zhang, X Zhang, W Liu, X Zou, M Sun… - Engineering Applications of …, 2022 - Elsevier
Adversarial examples crafted to deceive Automatic Speaker Verification (ASV) systems have
attracted a lot of attention when studying the vulnerability of ASV. However, real-world ASV …
attracted a lot of attention when studying the vulnerability of ASV. However, real-world ASV …
PhoneyTalker: An out-of-the-box toolkit for adversarial example attack on speaker recognition
Voice has become a fundamental method for human-computer interactions and person
identification these days. Benefit from the rapid development of deep learning, speaker …
identification these days. Benefit from the rapid development of deep learning, speaker …
Adversarial examples in the physical world: A survey
Deep neural networks (DNNs) have demonstrated high vulnerability to adversarial
examples, raising broad security concerns about their applications. Besides the attacks in …
examples, raising broad security concerns about their applications. Besides the attacks in …
Enrollment-stage backdoor attacks on speaker recognition systems via adversarial ultrasound
Automatic speaker recognition systems (SRSs) have been widely used in voice applications
for personal identification and access control. A typical SRS consists of three stages, ie …
for personal identification and access control. A typical SRS consists of three stages, ie …