Oct 30 @ Trento – Invited talks
Is identifying people using their voice a good idea?
Simon King, University of Edinburgh
Machines can now identify individuals from their speech more reliably
than human listeners. That makes voice authentication systems a very
attractive and customer-friendly option: “your voice is your
password”. But, at exactly the same time as this increasing deployment
of voice authentication, advances in computer-generated speech have made
it rather easy to attack these systems. In fact, in the earliest
experiments, computer-generated speech was identified by voice
authentication systems even more accurately than human speech!
Countermeasures against some attacks are now available, but it’s not
yet clear who will win this arms race: the good guys or the bad guys?
Would you use your voice as your password?
Simon King is Professor of Speech Processing in the department of Linguistics at UEDIN, and director of the Centre for Speech Technology Research (CSTR). He is has research interests in speech synthesis, speech recognition and signal processing, with around 200 refereed publications in these areas. A common theme in his research is the application of linguistic expertise to technological applications. He co-authored the Festival speech synthesis toolkit. He is a Fellow of the IEEE and has served on the IEEE Spoken Language Technical Committee, is an associate editor of Computer Speech and Language and a former associate editor of IEEE Transactions on Audio Speech and Signal Processing, former secretary and treasurer of the ISCA Speech Synthesis Special Interest Group, and current coordinator of the annual Blizzard speech synthesis evaluation programme. He has extensive project management experience, including as Director of the FP7 STREPs EMIME and Simple4All (both rated ‘Excellent’ at final review) and many UK projects.
Digital Humans - How they are created and what defines their level of realism
Uroš Sikimić, 3Lateral
Non-verbal communication conveyed via facial gesticulation presents an universal language across the whole human population. While each face is unique, it carries an enormous amount of information that our brains process and understand. Throughout the talk we will be discussing how non-verbal communication and convincing facial gesticulation is captured in the 3D and 4D scanning process, and then processed in order to produce digital replicas of actual people – their facial biokinetic models. We will introduce different components along this process that define the fidelity and level of realism digital humans convey.
Uroš Sikimić, PhD, is leading business development activities and special projects at 3Lateral. He has a Bachelor and Master degree in Electrical and Computer Engineering, from the Faculty of Technical Sciences, University of Novi Sad, and a joint PhD degree in Innovation and Technology Management awarded by three technical universities in Italy (Politecnico di Milano, Politecnico di Torino and Politecnico di Bari). He was engaged as a Visiting Researcher at Stockholm School of Economics (Sweden) and New York University (USA), where he conducted research in the field of Big Data analysis exploring market for technologies, patent trade and licensing activities of companies. Uroš Sikimić completed his Post-Doctoral studies at Singapore Management University (Singapore) where he was responsible to study, consult and support technology start-ups. His expertise lies in between technology and business, while he has a proven track record of helping companies grow by maximizing the potential embedded in their technologies.
Nov 9 @ Trento – Guest lecture
Steganography and Steganalysis
Rainer Böhme, University of Innsbruck
Rainer Böhme is Professor for Security and Privacy at the Department of Computer Science, University of Innsbruck, Austria. Prior to that he was Assistant Professor of Information Systems and IT Security at the University of Münster in Germany and Postdoctoral Fellow at the International Computer Science Institute in Berkeley, California. His research interests include multimedia security, digital forensics, privacy-enhancing technologies, as well as economics of information security and privacy and virtual currencies. He holds a Master’s degree in Communication Science and Economics and a Doctorate in Computer Science, both from TU Dresden in Germany. Rainer Böhme served this community as Program Co-chair of the Information Hiding Conference 2012, General Co-chair of the ACM Workshop on Information Hiding & Multimedia Security 2018, and Associate Editor of IEEE T-IFS since 2017.
April 2 @ Innsbruck – Invited talks
Valerie Goffaux, Université Catholique de Louvain
Topics: perception of human faces.
TBD @ Innsbruck – Guest lecture
Discrimination of real and artificial human faces in digital media
Giulia Boato, University of Trento
Giulia Boato is Associate Professor at the University of Trento. She holds a M.Sc. in Mathematics, 2002, and a Ph.D. in Information and Communication Technologies, 2005. Her research interests are focused on image and signal processing, with particular attention to multimedia data protection, data hiding and multimedia forensics, but also intelligent multidimensional data management and analysis. Her research focused in the last 5 years in particular towards the discrimination of CG and real human faces and the development of effective image/ audio/video modifications detection. She was chair of the International Workshop Living Web: making diversity a true asset (2009) and of the workshop on Event-based Media Integration (2013). She was Technical Program Chair of the ACM Information Hiding andMultimedia Security Workshop 2018. She has participated in many projects, (e.g., in the case of EC projects, SAFESPOT, Living Knowledge, GLOCAL, Eternals, 3D-ConTourNet).