Seminar: Images, perception, and the subjective space of privacy
Abstract:
Predicting image privacy in human-understandable terms is a context-dependent challenge. To address interpretability, this talk will present a method that predicts image privacy using intuitive natural language descriptors linked to collective human privacy perceptions, leveraging multimodal alignment. Additionally, the talk will introduce eight privacy personas that characterize diverse user groups based on their privacy knowledge, behavior, self-confidence, and perceived importance of privacy protection. Understanding these differences is fundamental to succeed in tailoring privacy communication and effective privacy enhancing technologies.
Bio:
Andrea Cavallaro is the Idiap Director and a Full Professor at EPFL. He is a Fellow of the Higher Education Academy, a Fellow of the International Association for Pattern Recognition, and an ELLIS Fellow. His research interests include machine learning for multimodal perception, computer vision, machine listening, and information privacy. Andrea received his PhD in Electrical Engineering from EPFL in 2002. He was a Research Fellow with British Telecommunications in 2004 and was awarded the Royal Academy of Engineering Teaching Prize in 2007; three student paper awards on target tracking and perceptually sensitive coding at IEEE ICASSP in 2005, 2007 and 2009; and the best paper award at IEEE AVSS 2009. In 2010, he was promoted to Full Professor at Queen Mary University of London, where he was the founding Director of the Centre for Intelligent Sensing and the Director of Research of the School of Electronic Engineering and Computer Science. He was a Turing Fellow (2018-2023) at The Alan Turing Institute, the UK National Institute for Data Science and Artificial Intelligence. He was selected as IEEE Signal Processing Society Distinguished Lecturer (2020-2021) and served as Chair of the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (2020-2021). He also served as member of the Technical Directions Board of the IEEE Signal Processing Society and as elected member of the IEEE Multimedia Signal Processing Technical Committee and chair of the Awards committee of the IEEE Signal Processing Society, Image, Video, and Multidimensional Signal Processing Technical Committee.
He served as Senior Area Editor for the IEEE Transactions on Image Processing and served as Editor-in-Chief of Signal Processing: Image Communication (2020-2023); as Area Editor for the IEEE Signal Processing Magazine (2012-2014); and as Associate Editor for the IEEE Transactions on Image Processing (2011-2015), IEEE Transactions on Signal Processing (2009-2011), IEEE Transactions on Multimedia (2009-2010), IEEE Signal Processing Magazine (2008-2011) and IEEE Multimedia (2016-2018). He also served as Guest Editor the IEEE Transactions on Multimedia (2019), IEEE Transactions on Circuits and Systems for Video Technology (2017, 2011), Pattern Recognition Letters (2016), IEEE Transactions on Information Forensics and Security (2013), International Journal of Computer Vision (2011), IEEE Signal Processing Magazine (2010), Computer Vision and Image Understanding (2010), Annals of the British Machine Vision Association (2010), Journal of Image and Video Processing (2010, 2008), and Journal on Signal, Image and Video Processing (2007). He published a monograph on Video tracking (2011, Wiley) and three edited books: Multi-camera networks (2009, Elsevier); Analysis, retrieval and delivery of multimedia content (2012, Springer); and Intelligent multimedia surveillance (2013, Springer).