Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples

by

Conference Paper1
Authors: Mauro Barni, Ehsan Nowroozi, Benedetta Tondi, Bowen Zhang
Year: 2020
Abstract: We investigate if the random feature selection approach proposed in [1] to improve the robustness of forensic detectors to targeted attacks, can be extended to detectors based on deep learning features. In particular, we study the transferability of adversarial examples targeting an original CNN image manipulation detector to other detectors (a fully connected neural network and a linear SVM) that rely on a random subset of the features extracted from the flatten layer of the original network…….

CNN-based detection of generic contrast adjustment with JPEG post-processing

by

Conference Paper1
Authors: Mauro Barni, Andrea Costanzo, Ehsan Nowroozi, Benedetta Tondi
Year: 2018
Abstract: Detection of contrast adjustments in the presence of JPEG post processing is known to be a challenging task. JPEG post processing is often applied innocently, as JPEG is the most common image format, or it may correspond to a laundering attack, when it is purposely applied to erase the traces of manipulation. In this paper, we propose a CNN-based detector for generic contrast adjustment, which is robust to JPEG compression……