Hi everybody, considering the improvements and ubiquity of machine learning applications, and the impact they (may) have on the privacy of individuals, we want to bring together people interested in either of the two sides, here in Dresden on Sept 21/22 2015 ( http://www.prinf.eu ). To ignite discussions, we see two (rather obvious) topics, that we think are important and interesting: 1) considering all the public personal data by all sorts of people, we wonder how good */inference attacks/* can actually get, even on people who don't publish (a lot of) information about themselves - directly related of course is the question, if we can find new */privacy metrics,/* and - if there are ways to encounter such attacks, without diminishing the utility for the users (too much). And
2) on a related note we want to further explore ideas towards */privacy-preserving recommenders/*. We will organize this event as a "traditional" scientific workshop soliciting submissions, which will be reviewed and subsequently published, to make it easier for the academic audiences to convince their funding entity of its importance ;-) - but we really mainly want to engage in discussions, may be fostering some future collaborations, as well. I'm attaching the usual Call for Papers - and I hope, of course, that we will receive some interesting submissions (to make the official part interesting - so help in advertising is appreciated). We will accept both novel scientific contributions, but also datasets and replication studies. But most importantly, we hope to attract a broad audience of interested participants from different professional backgrounds, to facilitate great discussions! Thanks a lot! Ulf & Thorsten -- Thorsten Strufe TU Dresden https://dud.inf.tu-dresden.de/ CASED http://www.cased.de/
Call for Papers: Workshop on Privacy and Inference (PrInf 2015) TU Dresden, September, 21/22 (TBA) http://www.prinf.eu The First Workshop on Privacy and Inference will be held in conjunction with the 38th German Conference on Artificial Intelligence that will take place in September 21-25, 2015 in Dresden, Germany. Contents The recent past has brought an increasing use of integrated online services for information discovery, the publication of personal information and an extensive exchange of opinions. Companies and institutions have greatly enhanced their means to collect information about individuals at the same time, and their deployment and utilisation is ever more sophisticated and widespread. A parallel trend exhibits the move towards cloud computing, the outsourcing of both data and processing to external providers. These trends have a tremendous impact on the privacy, and terminally the liberty of individuals users and institutions, a fact that has even reached the legislative bodies that struggle to find regulations to protect data while avoiding exceedingly inhibiting consequences for the commercial affairs. The scientific advance, however, is currently limited to highly specialised cryptographic primitives that lack general applicability, some attempts to quantify privacy, and intermediate solutions of outsourcing the trust to potentially independent hardware vendors (cf. Intel SGX). The PrInf workshop in consequence aims at uniting scientists that are currently interested in, and working on solutions to better protect the privacy of both the individuals with the desire to share information online, as well as institutions that actively outsource data and computation to cloud providers. It will hence encompass research advances in all areas of private inference and countermeasures to unwanted inference on personal information. Both large-scale governmental surveillance and extensive profiling of individuals over several integrated services has recently been enjoying large general interest. There also have been several, rather individual attempts at addressing these issues, but unfortunately no joint effort covering the complete range from logics, over machine learning and data mining, to privacy and cryptography. We hope to help build such an inter-disciplinary forum, attracting both interest and participation of the general audience at KI. In particular we are interested in the following topics: * Inference attacks on social media profiles * Privacy metrics * Inference and profiling prevention techniques * Privacy preserving regression * Privacy preserving clustering * Privacy preserving classification * Privacy preserving anomaly detection in social media behaviour * Replication studies * Data sets Important Dates Paper submission deadline June 12 Notification of acceptance July 13 Camera Ready deadline July 26 Workshop Sep 21/22 (TBA) Organizers * Ulf Brefeld (TU Darmstadt) * Thorsten Strufe (TU Dresden) Program Committee * Frederik Armknecht (University of Mannheim) * Battista Biggio (University of Cagliari) * Raphael Bost (Université de Rennes) * Michael Brückner (Amazon) * Christos Dimitrakakis (Chalmers) * Krishna Gummadi (MPI for Software Systems) * Stratis Ioannidis (Yahoo!) * Katerina Mitrokotsa (Chalmers) * Arvind Narayanan (Princeton) * Yves-Alexandre de Montjoye (MIT) * Alex Pretschner (TUM) * Konrad Rieck (University of Göttingen) * Björn Scheuermann (HU Berlin) Further Information * PrInf workshop web page: http://www.prinf.eu * KI conference web page: http://ki2015.computational-logic.org/
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