V.I.P.P. Group

Welcome!

VIPP figure

 

VIPP People

The Visual Information Processing and Protection (VIPP) group is an informal research group belonging to the Laboratory of Telematics and Telecommunications (LTT) of the Department of Information Engineering Mathematics of the University of Siena. The VIPP Group was founded in 2005 and it currently consists of 6 members: 1 Professor, 2 post-doc researchers, 2 PhD students and 1 undergraduate student. The group welcomes students and researchers wishing to spend a self-funded, research period within the group. Expression of interest should be submitted, together with a CV, to Prof. Mauro Barni.

Official VIPP meetings are scheduled weekly.

The research interests of the VIPP group span the whole area of multimedia security and adversarial signal and information processing, with a particular focus on the protection and authentication of visual information.

Currently, the most active research area is multimedia forensics, with special emphasis on adversarial image forensics, that is the development of image forensic techniques designed in such a way to withstand the attacks of one or more adversaries aiming at system failure. This research activity is partially funded by DARPA (U.S.) through the Medifor project.

Other research areas of the VIPP group include: Adversarial signal and information processing, Data hiding and watermarking, Signal Processing in the Encrypted Domain, Distributed detection in adversarial setting, with particular emphasis on data fusion in the presence of corrupted reports.

The VIPP group is especially devoted to keep a high quality research standard, and for this reason it adopts and pushes the Reproducible Signal Processing (RSP) paradigm, whereby the reproducibility of the experimental part of the researches carried out by the group is ensured by providing a precise description of the experiments and, whenever possible, by sharing the software produced by the group with other researchers.

OPENINGS

A post-doc position is available in VIPP group for studying the "Use of discriminative and generative neural networks (GAN) for image forensics in adversarial setting”. The position is for a one year appointment renewable up to 2 additional years.

Perspective candidates must hold a PhD and must have carried out research in Pattern recognition, Machine learning, Image processing or related disciplines, be able to program in Matlab and C, and speak English or Italian proficiently. Knowledge of Python and Tensor Flow is appreciated.

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The VIPP group is seeking candidates for PhD positions in the general fields of i) AI and deep learning security; ii) multimedia forensics, iii) DL-based watermarking, iv) biometric security (protection against spoofing attacks and identify theft), v) multiemdia security.

A pre-selection process is going to be carried out starting until the end of January 2019 (see https://www.unisi.it/didattica/post-laurea/dottorati-ricerca/ingegneria-e-scienza-dellinformazione-xxxv-ciclo-information). As a result of the preselection an admission offer will be issued by the University of Siena, which the selected candidates can use to look for financial sponsorship, for instance, but not only, by applying for national mobility funds. Students who will get a financial sponsorship will eventually be admitted to the PhD program of the Information Engineering and Mathematics Department (http://phdies.ing.unisi.it/), within the VIPP group under the guidance of Prof. Mauro Barni. The PhD program, lasting three years, is expected to start in October 1, 2019.

Perspective candidates must hold a degree in Information and Communication Technology, Computer Science, Electronic Engineering or related disciplines, be able to program in Matlab and C, and speak English or Italian proficiently. Prior knowledge of image processing and machine learning is appreciated.

Interested candidates are encouraged to submit an expression of interest to Prof. Barni ( This e-mail address is being protected from spambots. You need JavaScript enabled to view it ), to get more information about this program. The expression of interest must include a complete CV.