With the continuous development of computer hardware equipment and deep learning
technology, it is easier for people to swap faces in videos by currently-emerging multimedia …

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 …

Recognizing information about the origin of a digital image has been individuated as a
crucial task to be tackled by the image forensic scientific community. Understanding …

Detection of inconsistencies of double JPEG artifacts across different image regions is often
used to detect local image manipulations, like image splicing, and to localize them. In this …

Multimedia Forensics is devoted to analyse digital multimedia contents such as photo, video
and audio in order to produce evidences in the forensics domain. Specifically Image …

Many everyday activities involve the exchange of confidential information through the use of
a smartphone in mobility, ie, sending on e-mail, checking bank account, buying on-line …

The use of mobile phones or smartphones has become so widespread that most people rely
on them for many services and applications like sending e-mails, checking the bank …

Clustering images according to their acquisition devices is a well-known problem in
multimedia forensics, which is typically faced by means of camera sensor pattern noise …

Source-camera identification tools assist image forensics investigators to associate an
image with a camera. The Photo Response Non-Uniformity (PRNU) noise pattern caused by …

Retrieving pictures from large collections according to a specific criterion is an increasingly
relevant task. An important, but so far overlooked, such criterion is the retrieval of pictures …