In this work, we propose a technique that utilizes a fully convolutional network (FCN) to
localize image splicing attacks. We first evaluated a single-task FCN (SFCN) trained only on …

Local descriptors based on the image noise residual have proven extremely effective for a
number of forensic applications, like forgery detection and localization. Nonetheless …

Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

Accurate unsupervised tampering localization is one of the most challenging problems in
digital image forensics. In this paper, we consider a photo response non-uniformity analysis …

As a retouching manipulation, contrast enhancement is typically used to adjust the global
brightness and contrast of digital images. Malicious users may also perform contrast …

This paper proposes a novel Integrated Oversampling (INOS) method that can handle highly
imbalanced time series classification. We introduce an enhanced structure preserving …

We propose a novel framework of using a parsimonious statistical model, known as mixture
of Gaussian trees, for modeling the possibly multimodal minority class to solve the problem …

This paper focuses on the digital image authentication and forgery localization using
demosaicing artifacts. The aim is to build an algorithm allowing a bridge between the color …

We propose in this paper a novel technique to correlate statistical image noise features with
three EXchangeable Image File format (EXIF) header features for manipulation detection. By …

Detecting Contrast Enhancement (CE) in images and anti-forensic approaches against such
detectors have gained much attention in multimedia forensics lately. Several contrast …