Le séminaire « Privacy and Political Issues in Online Services » aura lieu le jeudi 20 octobre 2022, de 9h à 12h, au cambus de la Doua.
De plus amples informations sont données ci-dessous.

Date et heure

Jeudi 20 octobre 2022, de 9h à 12h

Lieu

Cambus de la Doua – Bâtiment Nautibus
23 Av. Pierre de Coubertin, 69100 Villeurbanne
Rez-de-chaussée – Salle de réunion

Lien de visioconférence

Vous pouvez également suivre le séminaire via le lien de visiocongférence suivant:
https://insa-lyon-fr.zoom.us/j/97375299994

Programme

9h-9h45:  « Where You Go Matter: Location, Machine Learning and Privacy« , by Mirco Musolesi

Abstract: Data gathered from smartphones enables service providers to infer a wide range of personal information about their users, such as their traits, their personality, and their demographics, by means of machine learning technologies. Understanding the types of information that can be extracted from location data and implications in terms of user privacy is of critical importance.In this talk, I will present the work of my lab in the past years in the area of location and privacy. I will discuss key project in this area, such as TrackingAdvisor, a mobile application that continuously collects user location and extracts personal information from it for understanding user privacy preferences. Finally, I will discuss the open research questions and challenges in this field

Bio: Mirco Musolesi is Full Professor of Computer Science at the Department of Computer Science at University College London and a Turing Fellow at the Alan Turing Institute, the UK National Institute for Data Science and Artificial Intelligence. He is also Full Professor of Computer Science at the University of Bologna. Previously, he held research and teaching positions at Dartmouth, Cambridge, St Andrews, and Birmingham. His research interests lie at the interface of machine learning, artificial intelligence, computational modelling of user/human behaviour & social systems, and ubiquitous computing. More information about his research profile can be found at: https://www.mircomusolesi.org.

10h-10h45: « Privacy Analysis with a Distributed Transition System and a Data-Wise Metric« , by Benjamin Nguyen

Abstract: We introduce a logical framework DLTTS (Distributed Labeled Tagged Transition System), built using concepts from Probabilistic Automata, Probabilistic Concurrent Systems, and Probabilistic labelled transition systems. We show that DLTTS can be used to formally model how a given piece of private information P (e.g. a tuple) stored in a given database D protected by generalization and/or noise addition mechanisms, can get captured progressively by an agent repeatedly querying D, by using additional non-private data, as well as knowledge deducible with a more general notion of adjacency based on metrics defined ‘value-wise’; such metrics also play a role in differentially private protection mechanisms.

Bio: Benjamin NGUYEN is Professor at INSA Centre Val de Loire since 2014. He is head of the Laboratoire d’Informatique Fondamentale d’Orléans (LIFO, EA4022) since 2016. His research interests cover Privacy & Security in Information Management Systems and Applications, in particular : Anonymization techniques, Models to represent, quantify and enforce limited data collection, Methods to enforce existing privacy models using secure hardware devices or cryptographic techniques (eg. Blockchain) and Design and implementation of large scale privacy-by-design personal information management applications (in general interdisciplinary research). Benjamin received his Ph.D. from University of Paris Sud in 2003, under the supervision of Serge Abiteboul. He joined University of Versailles as Associate Professor in 2004 in the Data Integration and Management team, and Inria Secure and Mobile Information Systems in 2010. Benjamin was co-head of the Computer Science department at Versailles from 2006 to 2010. He is co-head of the Privacy Working Group of the CNRS GDR Sécurité since 2016. He was member of the Executive Committee of INSA Centre Val de Loire and Head of Digital affairs from 2015 to 2019. He is member of the French committee for the recruitment of high school teachers in computer science (CAPES Informatique) since it was introduced in 2020.
https://www.benjamin-nguyen.fr/home/index.php?title=Accueil

10h45-11h45: « How can we safeguard the micro-targeting of political ads? An algorithmic and regulatory perspective« , by Oana GOGA

Abstract: Online political advertising has grown significantly over the last few years. To monitor online sponsored political discourse, companies such as Facebook, Google, and Twitter have created public AdLibraries collecting the political ads that run on their platforms. Currently, both policy makers and platforms are debating further restrictions on political advertising to deter misuses. This presentation investigates whether we can reliably distinguish political ads from non-political ads. We take an empirical approach to analyze what kind of ads are deemed political by ordinary people and what kind of ads lead to disagreement. Our results show significant disagreement between what ad platforms, ordinary people, and advertisers consider political and suggest that this disagreement mainly comes from diverging opinions on which adds address social issues. Overall our results imply that it is important to consider social issue ads as political, but they also complicate political advertising regulations.

Bio: Oana Goga is a Chargée de Recherches (equivalent to a tenured faculty position) at CNRS in the SLIDE team at Laboratoire d’Informatique de Grenoble, since October 2017. Prior to this I was a postdoc at the Max Planck Institute for Software Systems working with Krishna Gummadi. I obtained my PhD in 2014 from the Pierre et Marie Curie University in Paris under the supervision of Renata Teixeira.
https://lig-membres.imag.fr/gogao/