We are currently on a verge of a revolution in digital photography. Developments in
computational imaging and adoption of artificial intelligence have spawned new editing …

In recent years, several research studies have investigated the identification of electronic
devices through their physical components and properties, both from a theoretical point of …

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 …

Recent research found that attacks based on morphed face images, ie, morphing attacks,
pose a severe security risk to face recognition systems. A reliable morphing attack detection …

We address the problem of clustering a set of images, according to their source device, in
the absence of any prior information. Image similarity is computed based on noise residuals …

A crucial challenge in digital image forensics is to identify the source camera model used to
generate given images. This is of prime importance, especially for Law Enforcement …

Photo response non-uniformity (PRNU) noise is a sensor pattern noise characterizing the
imaging device. It has been broadly used in the literature for source camera identification …

In the digital multimedia era, digital forensics is becoming an emerging area of research
thanks to the large amount of image and video files generated. Ensuring the integrity of such …

With the prevalence of adopting data-driven convolution neural network (CNN)-based
algorithms into the community of digital image forensics, some novel supervised classifiers …

Physically unclonable hardware fingerprints can be used for device authentication. The
photo-response non-uniformity (PRNU) is the most reliable hardware fingerprint of digital …