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Atelier sur la vie privée en commerce électroniqueWorkshop on Computer Privacy in Electronic CommerceUniversité de Montréal, 2 mai 2008 / 2 May 2008Salle/Room 1140 (Pavillon André-Aisenstadt) |
Alfred Kobsa: Professor at Donald Bren School of Computer and Information Sciences, University of California, Irvine, USA
Privacy-Enhanced Personalization
Abstract: Personalized interaction with computer systems can be at odds with
privacy since it necessitates the collection of considerable amounts
of personal information. Numerous consumer surveys revealed though
that computer users are very concerned about their privacy online. The
collection of personal data is also subject to legal regulations in
many countries and states. This talk presents work in the area of
Privacy-Enhanced Personalization that aims at reconciling
personalization with privacy through suitable human-computer
interaction strategies and privacy-enhancing technologies.
Biography: Alfred Kobsa is a Professor in the Donald Bren School of Information
and Computer Sciences of the University of California, Irvine. Before
he was a Director of the Institute for Applied Information Technology
(FIT) at the German National Research Center for Information
Technology (GMD), and a Professor of Computer Science at the
University of Essen, Germany. Dr Kobsa's research lies in the areas of
user modeling and personalized systems (with applications in the areas
of information environments, expert finders, and user interfaces for
disabled and elderly people), privacy, and in information
visualization. He is the editor of User Modeling and User-Adapted
Interaction, editorial board member of the Springer Lecture Notes in
Computer Science (LNCS), World-Wide Web, and Universal Access in the
Information Society, and was the founding president of User Modeling
Inc. Dr. Kobsa edited several books and authored numerous publications
in the areas of user-adaptive systems, human-computer interaction and
knowledge representation. He also co-founded a national workshop
series and an international conference series in these areas. He
received research awards from the Humboldt Foundation, Google, and
several other organizations.
Mikhail Atallah: Professor of Computer Science, Purdue University
Privacy Technologies for Collaborative Computing
Abstract: Even though collaborative computing can yield substantial
economic, social, and scientific benefits, there are serious
impediments to fully achieving that potential. One of these is legal:
Privacy laws and laws against collusive behavior (anti-trust) often
forbid the disclosure of information, or strictly regulate the form and
timing of that disclosure. But even when it is not illegal to share
data, there is often a reluctance to share it, for fear of losing
control over its subsequent dissemination and usage. We survey
security technologies that mitigate this problem, and allow the data
owner to enforce its approved purposes on the data used in
collaborative computing. These include techniques for cooperatively
computing answers without revealing any private data, even though the
computed answers depend on all the participants' private data. They
also include computational outsourcing, where computationally weak
entities use computationally powerful entities to carry out intensive
computing tasks without revealing to them either their inputs or the
computed answers.
Biography: Mikhail Atallah holds the rank of Distinguished Professor of Computer Science at Purdue University. His research interests include information security, distributed computing, algorithms, and
computational geometry. A Fellow of both the ACM and IEEE, he has
served on the editorial boards of top journals, and on the program
committees of top conferences and workshops. He was keynote and
invited speaker at many national and international meetings, and a
speaker eight times in the Distinguished Colloquium Series of top
Computer Science Departments. He was selected in 1999 as one of
the best teachers in the history of Purdue and included in a permanent wall display of Purdue's best teachers past and present. He is a co-founder of Arxan Technologies Inc.
Larry W. Korba: Principal Research Officer/Group Leader Information Security Group, Institute for Information Technology, National Research Council of Canada
Automating Privacy Compliance: A Technology Perspective
Abstract: Organizations of all types are besought by government bodies, regulators, partners, and their own operational or business demands to have and to uphold a set of privacy policies relevant to the personal data entrusted to them by customers. While creating a set of privacy policies is difficult enough, being able to demonstrate at any time how well it is upholding them is particularly demanding for organizations. Challenges range from discovering where important private data is located, to limiting different types of operations on that data, especially in an open computing environment. In this talk I will describe these challenges while exploring a set of core technologies that may be used to create automating privacy compliance systems.
Biography: Larry Korba is the group leader of the Information Security Group in the Institute for Information Technology of the National Research Council of Canada, Ottawa, ON. As a Principal Research Officer, he is currently the research lead in a major R&D project involving the creation of automated compliance technology for privacy. Over the last 7 years he has led several research privacy technology projects involving collaborators in the European Union, Canada and Taiwan. He has published over 150 research papers in a variety of areas, and has given technical talks at many different venues. His research interests include network and application security, privacy protection, computer supported collaborative work and technologies for security intelligence.
| 8:30 – 9:00 | Enregistrement / Registration |
| 9:15 – 9:30 | Esma Aïmeur Mot de bienvenue / Opening Remarks |
| 9:30 – 10:45 | Alfred Kobsa Privacy-Enhanced Personalization |
| 10:45 – 11:15 | Pause-café / Coffee Break |
| 11:15 – 12:30 | Mikhail Attalah Privacy Technologies for Collaborative Computing |
| 12:30 – 14:00 | Déjeuner / Lunch Salon Maurice L’Abbé (6 ième étage / 6th floor, Pavillon André-Aisenstadt) |
| 14:00 – 15:15 | Larry Korba Automating Privacy Compliance: A Technology Perspective |
| 15:15 – 15:30 | Mot de la fin / Concluding Remarks |
Pour toute question ou suggestion, s'il vous plaît contactez Esma Aïmeur / For questions and suggestions, please contact Esma Aïmeur
Email: aimeur@iro.umontreal.ca
URL: http://www.iro.umontreal.ca/~aimeur
Phone: +1 (514) 343-6794
Fax: +1 (514) 343-5834
Université de Montréal Département d'informatique et de recherche opérationnelle Pavillon André-Aisenstadt C.P. 6128, Succ. Centre-Ville, Montréal (QC) H3C 3J7 Canada