arXiv (OAI Expanded)
open access
Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks
Automatic Speech Recognition (ASR) systems operating in real-time settings must process acoustic input under strict temporal constraints, where transcription decisions are inherently made on incomplete information. This causal constraint serves as an information bottleneck on attackers, significantl
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks#266128
- Backdoor Attacks on Speech Emotion Recognition via TTS-Generated Poisoning#821925
- SE-ADD: Self-Evolving Audio Deepfake Detection with Mistake-Driven Supervision#1144646
- Hearing the Whispers: Black-Box Membership Inference Attacks on Finetuned TTS Models#822153
- A Training-Free Proactive Defense Against Partial Speech Manipulation via Self-Embedding Steganography#1035602
Record · ID 1083107
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive