Tag
A paper introducing ILL, an inaudible low-frequency red-teaming method to expose safety vulnerabilities in audio-language models, and DRG, a defense that detects distribution shifts and requests a second recording to recover accuracy.
This paper identifies and explains a spectral bias in reconstruction-based EEG foundation models, where embeddings over-represent aperiodic and low-frequency components while under-representing oscillatory components, especially at higher frequencies, leading to poor performance in low-resource settings.