Privacy and Identity Management. Data for Better Living: AI and Privacy: 14th Ifip Wg 9.2, 9.6/11.7, 11.6/Sig 9.2.2 International Summer School, Windi

ISBN-13: 9783030425036 / Angielski / Twarda / 2020 / 480 str.

Michael Friedewald; Melek Önen; Eva Lievens

Spis treści

Invited Papers.- Privacy as Enabler of Innovation.- Fair Enough? On Avoiding Bias in Data, Algorithms and Decisions.- Workshop and Tutorial Papers.- Opportunities and Challenges of Dynamic Consent in Commercial Big Data Analytics.- Identity Management: State of the Art, Challenges and Perspectives.- SoK: Cryptography for Neural Networks.- Workshop on Privacy Challenges in Public and Private Organizations.- News diversity and recommendation systems: Setting the interdisciplinary scene.- Language and Privacy.- Ontology-based Modeling of Privacy Vulnerabilities for Data Sharing.- On the Design of a Privacy-Centered Data Lifecycle for Smart Living Spaces.- Language-Based Mechanisms for Privacy by Design.- Law, Ethics and AI.- Get to Know Your Geek: Towards a Sociological Understanding of Incentives to Develop Privacy-Friendly Free and Open Source Software.- Recommended for you: "You don't need no thought control" – An analysis of news personalisation in light of Article 22 GDPR.- Biometrics and Privacy.- Data privatizer for biometric applications and online identity management.- What Does Your Gaze Reveal About You? On the Privacy Implications of Eye Tracking.- Privacy Implications of Voice and Speech Analysis { Information Disclosure by Inference.- Border Control and Use of Biometrics: Reasons Why Right to Privacy can not be Absolute.- Tools Supporting Data Protection Compliance.- Making GDPR Usable: A Model to Support Usability Evaluations of Privacy.- Decision Support for Mobile App Selection via Automated Privacy Assessment.- A Tool-Assisted Risk Analysis for Data Protection Impact Assessment.- Privacy Classification and Security Assessment.- How to Protect my Privacy? - Classifying End-User Information Privacy Protection Behaviors.- Annotation-based Static Analysis for Personal Data Protection.- Order of Control and Perceived Control over Personal Information.- Aggregating Corporate Information Security Maturity Levels of Different Assets.- Privacy Enhancing Technologies in Specific Contexts.- Differential Privacy in Online Dating Recommendation Systems.- Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets.- A Survey-based Exploration of Users' Awareness and their Willingness to Protect their Data with Smart Objects.- Self-Sovereign Identity Systems: Evaluation Framework.- Privacy in Location-Based Services and their Criticality based on Usage Context.

O autorze

Michael Friedewald, Fraunhofer ISI, Germany

Melek Önen, EURECOM, France

Eva Lievens, Ghent University, Belgium

Stephan Krenn, AIT Austrian Institute of Technology, Austria

Samuel Fricker, Fachhochschule Nordwestschweiz, Switzerland