@inproceedings{f8474c86674a444da5ee08e0f913456c,
title = "Seam Carve Detection Using Convolutional Neural Networks",
abstract = "Seam carving is a form of content-aware image modification. This modification can vary from resizing to clipping of content within an image. This can be easily used to alter images to achieve steganographic goals or the propagation of misleading information. Deep learning, particularly Convolutional Neural Networks have become prolific in today{\textquoteright}s image-based intelligent systems. However, it has been found that convolutional networks specialized for image classification tend to perform poorly for steganalysis—specifically seam carving. In this paper, we propose a convolutional neural network architecture which is able to learn the nuances of seam carved images.",
keywords = "Convolutional Neural Networks, Seam carving, Steganalysis",
author = "Mehtab Iqbal and Lei Chen and Hengfeng Fu and Yun Lin",
note = "Publisher Copyright: {\textcopyright} 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 2nd EAI International Conference on Advanced Hybrid Information processing, ADHIP 2018 ; Conference date: 05-10-2018 Through 06-10-2018",
year = "2019",
doi = "10.1007/978-3-030-19086-6_44",
language = "English",
isbn = "9783030190859",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "392--407",
editor = "Shuai Liu and Gelan Yang",
booktitle = "Advanced Hybrid Information Processing - 2nd EAI International Conference, ADHIP 2018, Proceedings",
address = "Germany",
}