arXiv:2609.28659v1 Announce Type: new Abstract: The proliferation of audiovisual deepfakes has lowered the cost of fraud, impersonation, and misinformation, but their success ultimately depends on human perception. Detection requires integrating auditory and visual cues, yet security and privacy research has largely overlooked d/Deaf and hard-of-hearing (DHH) populations.
"What I See is What I Hear": Deepfake Detection Across Diverse Hearing Abilities
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