New Parrot Training Technique Revolutionizes Black-Box Attacks on Speaker Recognition Systems
June 12, 2024![New Parrot Training Technique Revolutionizes Black-Box Attacks on Speaker Recognition Systems](https://cdn.brief.news/images/stories/664be6cb5fe3a956131f23b0ad8aa8ff35bb66f24a38fcee2fbec61058a4e499803d7160de13edcbae3067cda69229138efe9219eaef048ad03a0a6cbb56f2d4.jpg)
Cutting-edge research on Parrot Training-Audio Embedding (PT-AE) attacks has developed an optimized mechanism for generating attacks against black-box target models in speaker recognition systems.
Various audio carriers like noise, feature-twisted, and environmental sounds were explored, with environmental sound carriers proving to be the most effective for high True Positive Rates (TPRs) in PT-AEs.
A human study dataset demonstrated that environmental sound carriers achieved the best transferability of PT-AEs, slightly less effective than Generative Transfer Adversarial Examples (GT-AEs).
The Transferability-Perception Ratio (TPR) was introduced to measure the joint perspective of transferability and perception, with speech length being crucial for successful PT-AEs.
The parrot training method leverages voice conversion advancements to create a parrot-trained (PT) model, producing PT-AEs with high transferability and good perceptual quality.
Real-world experiments confirmed the effectiveness of the PT-AE attack against open-source models and smart devices.
The proposed PT-AE strategy outperforms existing attack strategies, requiring minimal knowledge from the attacker.
The study presents a novel and practical approach to black-box attacks on speaker recognition systems, highlighting the power of parrot training in generating effective PT-AEs.
Summary based on 9 sources
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![The Evolution of Black-Box Audio Attacks](https://cdn.brief.news/images/links/0184c70632047dea8b1bba7a46b094f122b3640930e13282748190648e60cefb6dcfbcd0b7eb0fbac4f513297181737bc66365382147f462524db20242e3a3a4.jpg)
• Jun 11, 2024
The Evolution of Black-Box Audio Attacks![Optimized Black-Box PT-AE Attacks](https://cdn.brief.news/images/links/f9d0243615975d5acf74fe851c130839d06fbdcc3ffff5f1e4fafcf3947941ab4d93d3fa800abf86070078b517be59dad15dc4592f2ed77c80b5210f48e92233.jpg)
• Jun 11, 2024
Optimized Black-Box PT-AE Attacks