Sensors-Driven Multimodal Deepfake Detection: A Cross-Attention Fusion Approach with Adaptive Modality Gating.

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Bibliographic Details
Title: Sensors-Driven Multimodal Deepfake Detection: A Cross-Attention Fusion Approach with Adaptive Modality Gating.
Authors: Waseem SS; Department of Computer Science & IT, The Government Sadiq College Women University, Bahawalpur 63100, Pakistan., Shabbir N; Department of Electrical Power Engineering & Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia., Hassan SR; Department of Computer Engineering, Gachon University, Seongnam-si 13120, Republic of Korea., Lee K; Department of Computer Engineering, Gachon University, Seongnam-si 13120, Republic of Korea.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Jun 10; Vol. 26 (12). Date of Electronic Publication: 2026 Jun 10.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s26123695