Home News & Events IEEE Malta Seminar: Computing with private data: when cryptography meets signal processing
Saturday, 04 April 2020
IEEE Malta Seminar: Computing with private data: when cryptography meets signal processing

The IEEE Malta Section held its annual IEEE Distinguished Lecturer talk entitled “Computing with private data : when cryptography meets signal processing”.   This year the speaker iwas Prof. Mauro Barni from the University of Siena.  Further information regarding the talk and the speaker can be found below in this document.

This event was held in collaboration with the Chamber of Engineers on  Wednesday 23rd October 2013 at the Professional Centre, Gzira.   This was be followed by light refreshments.


Computing with private data: when cryptography meets signal processing

In today's Internet era, it is easier than ever before to create, consume, share and archive multimedia content. Together with the widespread adoption of the cloud-computing model, this unprecedented level of access creates security and privacy concerns such as protecting creativity via copyright, preventing corruption and theft of private data, protection of the privacy of users.

Signal processing in the encrypted domain (s.p.e.d.), is an elegant and powerful answer to this call for security and privacy protection. According to the s.p.e.d. paradigm, processing tools are applied to data and signals that have been previously obfuscated either by encryption or secret sharing or other privacy-preserving primitives.

Mathematical manipulation of signals that are encrypted or otherwise hidden is a fascinating challenge that has caught the attention by a large number of researchers from the cryptography, signal processing, and data mining communities. In the last 5 years theoretical and practical advances in this field have been impressive, thus contributing to bring s.p.e.d. technology closer to real life requirements. As a matter of fact, the usage of s.p.e.d. techniques in real-world applications starts being viable, at least in cases where a suitable trade-off between efficiency and security can be found.

It is the goal of this talk to:

i) provide examples of applications that could benefit from the availability of efficient SSP protocols;
ii) introduce the basic primitives s.p.e.d. relies on;
iii) detail a few examples showing how s.p.e.d. principles can be put into practice;
iv) discuss some recent breakthroughs that are likely to significantly expand the applicability of s.p.e.d. to real life problems


Mauro Barni (F) graduated in Electronic Engineering at the University of Florence in 1991. He received the Ph.D. in Informatics and Telecommunications from the same University in October 1995. He has carried out his research activity for almost 20 years first at the Department of Electronics and Telecommunication, University of Florence, then at the Department of Information Engineering, University of Siena, where he works as Associate Professor. During the last decade, his activity has focused on digital image processing and information security, with particular reference to the application of image processing techniques to copyright protection and authentication of multimedia (digital watermarking and multimedia forensics). Lately, he has been studying the possibility of processing signals that have been previously encrypted without decrypting them (signal processing in the encrypted domain – s.p.e.d.).

Prof. Barni was Associate Editor, IEEE Transactions on Circuits and System for Video Technology and IEEE Transactions on Information Forensics and Security (2009-Present); Chair, IEEE Multimedia Signal Processing Workshop (2004); International Workshop on Digital Watermarking (2005); Technical Program Chair, Information Hiding Workshop (2005); International Workshop on Digital Watermarking (2009; Guest or Co-Guest Editor of five special issues in international peer-reviewed journals and 10 special sessions in international conferences in the field of multimedia security; Associate Editor, IEEE Signal Processing Magazine (column and forum section) (2003-2006), IEEE Signal Processing Letters (2005-2008), IEEE Transactions on Multimedia (2003), EURASIP Journal of Applied Signal Processing, and IET Proceedings on Information Security; Member and Chair, SPS Information Forensic and Security Technical Committee (2006-present and 2010-2011, respectively); and Member, SPS Multimedia Signal Processing Technical Committee (2001-2005) and SPS Conference Board (2002-2004). Prof. Barni was the recipient of SPS Signal Processing Magazine Best Column Award (2008), and the IEEE Transactions on Geoscience and Remote Sensing Best Paper Award (2010). Prof. Barni is a Fellow of the IEEE, Senior Member of EURASIP, and founding Editor-in-Chief, EURASIP Journal on Information Security (2006 to 2009).l Committee (2008-10); Member, Industrial Relations Committee (2011); Member, Technical Directions Board (2007-09); Associate Editor, IEEE Transactions on Image Processing (2002-04), and IEEE Signal Processing Letters (2000-02); and Co-Guest Editor for three SPS special issues including recently the January 2011 issue of IEEE Signal Processing Magazine on "Immersive Communication".

Prof. Barni is author/co-author of about 250 papers published in international journals and conference proceedings, and holds four patents in the field of digital watermarking and printed documents authentication. He is co-author of the book "Watermarking Systems Engineering: Enabling Digital Assets Security and Other Applications", published by Dekker Inc. Published in February 2004. He is editor of the book “Document and Image Compression” published by CRC-Press in 2006.

Prof. Barni participated in several National and European research projects on diverse topics, including digital watermarking, information security, signal processing in the encrypted domain, multimedia forensics. In particular, he has been the coordinator of the project SPEED – Signal Processing in the EncryptEd Domain funded by the EC under the FP6 (FET – program) and the coordinator of the Italian project: Priv-Ware: Privacy aware processing of encrypted signals for treating sensitive information, funded by the Italian Ministry (2009-2010). He is currently leading the VIPP (Visual Information Processing and Protection) group of the Telecommunication Laboratory of the Information Engineering Department at the University of Siena).  (http://clem.dii.unisi.it/~vipp/).

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Last Updated on Monday, 28 October 2013 20:01