Higher-Order, Adversary-Aware, Double JPEG-Detection via Selected Training on Attacked Samples
Conference Paper1
Authors: Mauro Barni, Ehsan Nowroozi, Benedetta Tondi
Year: 2017
Abstract: In this paper we present an adversary-aware double JPEG detector which is capable of detecting the presence of two JPEG compression steps even in the presence of heterogeneous processing and counter-forensic (C-F) attacks. The detector is based on an SVM classifier fed with a large number of features and trained to recognise the traces left by double JPEG detection in the presence of attacks. Since it is not possible to train the SVM on all possible kinds of processing and C-F attacks, a selected set of images, manipulated with a limited number of attacks is added to the training set……