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Hear "No Evil", See "Kenansville" - Efficient and Transferable Black-Box Attacks on Automatic Speech Recognition Systems
YouTube·IEEE Symposium on Security and Privacy
Explore efficient and transferable black-box attacks on automatic speech recognition systems in this 14-minute IEEE conference presentation. Delve into various attack types against machine learning models, including untargeted and targeted attacks, as well as generic attacks. Examine the voice system pipeline and understand how these attacks function, observing their impact on transcription and tag capabilities. Watch a demonstration and learn about user study findings. Gain valuable insights into the vulnerabilities of speech recognition technology and potential security implications in this comprehensive overview.