A deep learning approach to detection of splicing and copy-move forgeries in images

8th IEEE International Workshop on Information Forensics and Security, WIFS 2016

Volumn , Issue , 2017, Pages

  Rao, Yuan ^a   Ni, Jiangqun ^a  

^a SUN YAT SEN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; FACSIMILE; FORENSIC ENGINEERING; HIGH PASS FILTERS; NETWORK LAYERS; NEURAL NETWORKS;

CONVOLUTIONAL NEURAL NETWORK; COPY-MOVE DETECTIONS; COPY-MOVE FORGERIES; DISCRIMINATIVE FEATURES; HIERARCHICAL REPRESENTATION; IMAGE FORGERY DETECTIONS; LEARNING TECHNIQUES; STATE-OF-THE-ART METHODS;

DEEP NEURAL NETWORKS;

EID: 85015023572     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIFS.2016.7823911     Document Type: Conference Paper

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