Selective audio adversarial example in evasion attack on speech recognition system
Deep neural networks (DNNs) are widely used for image recognition, speech recognition,
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …
Selective Audio Adversarial Example in Evasion Attack on Speech Recognition System
H Kwon, Y Kim, H Yoon, D Choi - IEEE Transactions on Information …, 2020 - dl.acm.org
Deep neural networks (DNNs) are widely used for image recognition, speech recognition,
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …
Selective Audio Adversarial Example in Evasion Attack on Speech Recognition System
H Kwon, Y Kim, H Yoon, D Choi - IEEE TRANSACTIONS ON …, 2020 - koasas.kaist.ac.kr
Deep neural networks (DNNs) are widely used for image recognition, speech recognition,
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …
[PDF][PDF] Selective Audio Adversarial Example in Evasion Attack on Speech Recognition System
H Kwon, Y Kim, H Yoon, D Choi - IEEE TRANSACTIONS ON …, 2020 - researchgate.net
Deep neural networks (DNNs) are widely used for image recognition, speech recognition,
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …
Selective Audio Adversarial Example in Evasion Attack on Speech Recognition System
H Kwon, Y Kim, H Yoon, D Choi - IEEE TRANSACTIONS ON …, 2019 - scholarworks.bwise.kr
Deep neural networks (DNNs) are widely used for image recognition, speech recognition,
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …
and other pattern analysis tasks. Despite the success of DNNs, these systems can be …