Design Principles of Convolutional Neural Networks for Multimedia Forensics

@inproceedings{Bayar2017DesignPO,
  title={Design Principles of Convolutional Neural Networks for Multimedia Forensics},
  author={Belhassen Bayar and Matthew C. Stamm},
  booktitle={Media Watermarking, Security, and Forensics},
  year={2017}
}
Convolutional neural networks (CNNs) have received significant attention due to their ability to adaptively learn classification features directly from data. While CNNs have helped cause dramatic advances in fields such as object and speech recognition, multimedia forensics is fundamentally different problem compared to other deep learning applications. Little work exists to guide the design of CNN architectures for forensic tasks. Furthermore, it is still unclear which forensic tasks can be… CONTINUE READING
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