Hybrid deep feature integration model for robust deepfake detection using transfer-learned neural networks. [PDF]
Front Artif IntellPotluri S +5 more
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Frequency Masking for Universal Deepfake Detection
We study universal deepfake detection. Our goal is to detect synthetic images from a range of generative AI approaches, particularly from emerging ones which are unseen during training of the deepfake detector.
Doloriel, Chandler Timm +1 more
core
DeepLayer-ID: A Lightweight Multi-Domain Forensic Framework for Real-Time Deepfake Detection in Resource-Constrained UAV Sensor Platforms. [PDF]
Sensors (Basel)Alshammari NH, Alshammari SA.
europepmc +1 more source
Enhancing tumor deepfake detection in MRI scans using adversarial feature fusion ensembles. [PDF]
Sci RepAli A +5 more
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Audio Deepfake Detection via a Fuzzy Dual-Path Time-Frequency Attention Network. [PDF]
Sensors (Basel)Li J +6 more
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openIl presente elaborato esamina il fenomeno dei deepfake nella prospettiva del diritto penale, con particolare attenzione alla recente L. n. 132/2025 e all'introduzione dell'art. 612-quater c.p., prima fattispecie incriminatrice specificamente dedicata
POLLON, TATIANA
core
Unmasking digital deceptions: An integrative review of deepfake detection, multimedia forensics, and cybersecurity challenges. [PDF]
MethodsXSingh S, Dhumane A.
europepmc +1 more source
Enhancing practicality and efficiency of deepfake detection. [PDF]
Sci RepBalafrej I, Dahmane M.
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Building deepfake detection techniques
DeepFake refers to hyper-realistic digitally manipulated media created using advanced machine learning techniques such as generative adversarial networks (GANs).
Cheong, Jia Rong
core
GFADE: generalized feature adaptation and discrimination enhancement for deepfake detection. [PDF]
PeerJ Comput SciTian Z, Yi J.
europepmc +1 more source