@inproceedings{e6ca55987fd94eb8a5b8d71dba06d921,
title = "Recent advances in counter PRNU based source attribution and beyond",
abstract = "Photo response noise uniformity (PRNU) based source attribution has proven to be a powerful technique in multimedia forensics. The increasing prominence of this technique, combined with its introduction as evidence in the court, brought with it the need for it to withstand anti-forensics. Although robustness under common signal processing operations and geometrical transformations have been considered as potential attacks on this technique, new adversarial settings that curtail the performance of this technique are constantly being introduced. Starting with an overview of proposed approaches to counter PRNU based source attribution, this work introduces photographic panoramas as one such approach and discusses how to defend against it.",
keywords = "Source camera identification, adaptive prnu denoising, counter-forensics, forensics, geometric transformations, panoramic-imaging, photo-response-non-uniformity, seam-carving",
author = "Ahmet Karak{\"u}{\c c}{\"u}k and Dirik, {Ahmet E.} and Sencar, {H{\"u}srev T.} and Memon, {Nasir D.}",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Media Watermarking, Security, and Forensics 2015 ; Conference date: 09-02-2015 Through 11-02-2015",
year = "2015",
doi = "10.1117/12.2182458",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Heitzenrater, {Chad D.} and Alattar, {Adnan M.} and Memon, {Nasir D.}",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Media Watermarking, Security, and Forensics 2015",
address = "United States",
}