Understanding Speaker Recognition and Adversarial Speech Attacks - podcast episode cover

Understanding Speaker Recognition and Adversarial Speech Attacks

Jun 12, 20247 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

This story was originally published on HackerNoon at: https://hackernoon.com/understanding-speaker-recognition-and-adversarial-speech-attacks.
Explore how parrot training enhances black-box audio adversarial attacks on speaker recognition systems with minimal knowledge and no probing required.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #audio-adversarial-attacks, #black-box-attacks, #smart-device-security, #adversarial-machine-learning, #speaker-recognition-models, #parrot-speech-synthesis, #pt-ae-audio-attacks, #hackernoon-top-story, and more.

This story was written by: @botbeat. Learn more about this writer by checking @botbeat's about page, and for more stories, please visit hackernoon.com.

Parrot training offers a practical approach to black-box audio adversarial attacks on speaker recognition systems by using minimal knowledge and eliminating the need for probing. This method leverages a short speech sample to create effective audio adversarial examples with high transferability and good perceptual quality.

For the best experience, listen in Metacast app for iOS or Android