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Privacy and Identity Management. Data for Better Living: AI and Privacy [[electronic resource] ] : 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Windisch, Switzerland, August 19–23, 2019, Revised Selected Papers / / edited by Michael Friedewald, Melek Önen, Eva Lievens, Stephan Krenn, Samuel Fricker
Privacy and Identity Management. Data for Better Living: AI and Privacy [[electronic resource] ] : 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Windisch, Switzerland, August 19–23, 2019, Revised Selected Papers / / edited by Michael Friedewald, Melek Önen, Eva Lievens, Stephan Krenn, Samuel Fricker
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XI, 480 p. 196 illus., 46 illus. in color.)
Disciplina 005.8
Collana IFIP AICT Tutorials
Soggetto topico Computer security
Application software
Artificial intelligence
Data mining
Computer communication systems
Data encryption (Computer science)
Systems and Data Security
Information Systems Applications (incl. Internet)
Artificial Intelligence
Data Mining and Knowledge Discovery
Computer Communication Networks
Cryptology
ISBN 3-030-42504-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910409678803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Privacy and Identity Management. Data for Better Living: AI and Privacy [[electronic resource] ] : 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Windisch, Switzerland, August 19–23, 2019, Revised Selected Papers / / edited by Michael Friedewald, Melek Önen, Eva Lievens, Stephan Krenn, Samuel Fricker
Privacy and Identity Management. Data for Better Living: AI and Privacy [[electronic resource] ] : 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School, Windisch, Switzerland, August 19–23, 2019, Revised Selected Papers / / edited by Michael Friedewald, Melek Önen, Eva Lievens, Stephan Krenn, Samuel Fricker
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XI, 480 p. 196 illus., 46 illus. in color.)
Disciplina 005.8
Collana IFIP AICT Tutorials
Soggetto topico Computer security
Application software
Artificial intelligence
Data mining
Computer communication systems
Data encryption (Computer science)
Systems and Data Security
Information Systems Applications (incl. Internet)
Artificial Intelligence
Data Mining and Knowledge Discovery
Computer Communication Networks
Cryptology
ISBN 3-030-42504-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996465463103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui