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GhostPrefix attack manipulates ASR systems without synchronization

By PulseAugur Editorial · [1 sources] ·

Researchers have developed GhostPrefix, a novel method for manipulating Automatic Speech Recognition (ASR) systems without requiring synchronization with the target audio. This technique involves prepending a short, reusable audio segment to any live speech, enabling real-time control over ASR outputs. GhostPrefix utilizes token-level and representation-level objectives to maintain stable adversarial effects across various speech contexts and can be used for semantic steering, transcript hijacking, or transcription degradation. The attack has demonstrated high success rates in both digital and over-the-air settings, impacting downstream applications like voice assistants and AI note-taking tools. AI

IMPACT This research highlights a new vulnerability in ASR systems, potentially impacting the security and reliability of voice-controlled AI applications.

RANK_REASON The cluster describes a new research paper detailing a novel attack method against ASR systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GhostPrefix attack manipulates ASR systems without synchronization

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The cluster describes a new research paper detailing a novel attack method against ASR systems. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shengding Liu, Ashwin Innuganti, Qiben Yan ·

    GhostPrefix: Synchronization-Free Universal Prefix Attacks for ASR Manipulation

    arXiv:2610.42026v1 Announce Type: new Abstract: We present GhostPrefix, the first synchronization-free universal adversarial prefix attack against automatic speech recognition (ASR) systems. Unlike prior audio attacks, which are typically crafted per utterance, require synchroniz…

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