https://www.dagstuhl.de/20132

22. – 27. März 2020, Dagstuhl-Seminar 20132

POSTPONED The Renaissance of Information Hiding

In view of the current coronavirus epidemic Schloss Dagstuhl has suspended its seminar operations – for the time being until August 15th, 2020. The affected seminars are postponed indefinitely. We will reschedule them after our operations will have resumed. (See announcement)

Organisatoren

Rainer Böhme (Universität Innsbruck, AT)
Stefan Katzenbeisser (Universität Passau, DE)
Jakub Szefer (Yale University – New Haven, US)
Carmela Troncoso (EPFL – Lausanne, CH)

Auskunft zu diesem Dagstuhl-Seminar erteilen

Dagmar Hofmann zu administrativen Fragen

Michael Gerke zu wissenschaftlichen Fragen

Dokumente

Teilnehmerliste
Gemeinsame Dokumente

Motivation

Information hiding refers to a subfield at the intersection of systems security, signal processing, and information theory. It unites research on methods to communicate over channels that are invisible to an observer, and often were not intended as communication channels.

Since the early 1990s, the information hiding community has generated a large body of knowledge, from theoretical models for covert information transmission down to practical realizations of information hiding methods for various embedding domains, witnessed by several thousand publications. Two key applications were the main drivers behind this work: Gus Simon's prisoners' problem for steganography and steganalysis, and Digital Rights Management (DRM) for content watermarking.

Over the years, these two applications became less attractive, but new applications have emerged that require similar technology: covert channels can now be used to leak secrets out of heavily guarded servers; to resist traffic analysis and support censorship resistance; to transfer watermarked information between a television set and a smartphone for targeted advertising, posing a risk to privacy; to infer the nature of processing performed on servers or smartphones; or can even be related to adversarial examples against machine learning-based vision or speech recognition systems. All these applications critically depend on methods of information hiding, yet they have largely been developed without direct interaction with the information hiding community.

This Dagstuhl Seminar aims at bridging this gap; it brings together researchers from the traditional information hiding discipline with researchers working on novel problems and applications. The seminar will address three specific topics. First, it will explore the interplay between information hiding and privacy: on the one hand, novel hiding methods may invade privacy, while on the other hand privacy enhancing technologies can be built using methods from information hiding. Second, the seminar will investigate covert channels in novel architectures and their implications on system security. Third, the seminar will study the interplay between information hiding and the vulnerabilities of machine learning to adversarial inputs.

Motivation text license
  Creative Commons BY 3.0 DE
  Rainer Böhme, Stefan Katzenbeisser, Jakub Szefer, and Carmela Troncoso

Classification

  • Multimedia
  • Networks
  • Security / Cryptology

Keywords

  • Information hiding
  • Covert channels
  • Privacy
  • Adversarial machine learning
  • Computer security

Dokumentation

In der Reihe Dagstuhl Reports werden alle Dagstuhl-Seminare und Dagstuhl-Perspektiven-Workshops dokumentiert. Die Organisatoren stellen zusammen mit dem Collector des Seminars einen Bericht zusammen, der die Beiträge der Autoren zusammenfasst und um eine Zusammenfassung ergänzt.

 

Download Übersichtsflyer (PDF).

Publikationen

Es besteht weiterhin die Möglichkeit, eine umfassende Kollektion begutachteter Arbeiten in der Reihe Dagstuhl Follow-Ups zu publizieren.

Dagstuhl's Impact

Bitte informieren Sie uns, wenn eine Veröffentlichung ausgehend von
Ihrem Seminar entsteht. Derartige Veröffentlichungen werden von uns in der Rubrik Dagstuhl's Impact separat aufgelistet  und im Erdgeschoss der Bibliothek präsentiert.