Search Results for author:
Found 3 papers, 1 papers with code
Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound
Motivated by these findings, we propose to exploit elements of sound ($e. g.$, pitch and timbre) to design more stealthy yet effective poison-only backdoor attacks.
VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion
Keyword spotting (KWS) based on deep neural networks (DNNs) has achieved massive success in voice control scenarios.
PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking
The training of KWS is usually based on deep neural networks and requires a large amount of data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
