Privacy Technologies and Policy: Lecture Notes in Computer Science, cartea 14831
Editat de Meiko Jensen, Cédric Lauradoux, Kai Rannenbergen Limba Engleză Paperback – aug 2024
The 12 full papers were carefully reviewed and selected from 60 submissions. This conference was established as an opportunity to bring together key communities, namely policy, academia, and industry, in the broader area of privacy and data protection while focusing on privacy-related application areas. Like in the previous edition, a large focus of the 2024 conference was on the General Data Protection Regulation (GDPR) and the emerging legislation around the European Data Spaces and Arti cial Intelligence.
Chapter 3, 9, 12 are licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). For further details see license information in the chapter.
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Specificații
ISBN-13: 9783031680236
ISBN-10: 3031680235
Pagini: 264
Ilustrații: X, 240 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031680235
Pagini: 264
Ilustrații: X, 240 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:2024
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
.- Implications of age assurance on privacy and data protection: A systematic threat model.
.- Access Your Data... If You Can: An Analysis of Dark Patterns Against the Right of Access on Popular Websites.
.- AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act.
.- Evaluating Differential Privacy on Correlated Datasets Using Pointwise Maximal Leakage.
.- Addressing Privacy Concerns in Joint Communication and Sensing for 6G Networks: Challenges and Prospects.
.- The lawfulness of re-identification under data protection law.
.- How to Drill Into Silos: Creating a Free-to-Use Dataset of Data Subject Access Packages.
.- Another Data Dilemma in Smart Cities: the GDPR’s Joint Controllership Tightrope within Public-Private Collaborations.
.- Privacy Promise vs. Tracking Reality in Pay-or-Tracking Walls.
.- Data Governance and Neutral Data Intermediation: Legal Properties and Potential Semantic Constraints.
.- No Transparency for Smart Toys.
.- Implementing ISO/IEC TS 27560:2023 Consent Records and Receipts for GDPR and DGA.
.- Access Your Data... If You Can: An Analysis of Dark Patterns Against the Right of Access on Popular Websites.
.- AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act.
.- Evaluating Differential Privacy on Correlated Datasets Using Pointwise Maximal Leakage.
.- Addressing Privacy Concerns in Joint Communication and Sensing for 6G Networks: Challenges and Prospects.
.- The lawfulness of re-identification under data protection law.
.- How to Drill Into Silos: Creating a Free-to-Use Dataset of Data Subject Access Packages.
.- Another Data Dilemma in Smart Cities: the GDPR’s Joint Controllership Tightrope within Public-Private Collaborations.
.- Privacy Promise vs. Tracking Reality in Pay-or-Tracking Walls.
.- Data Governance and Neutral Data Intermediation: Legal Properties and Potential Semantic Constraints.
.- No Transparency for Smart Toys.
.- Implementing ISO/IEC TS 27560:2023 Consent Records and Receipts for GDPR and DGA.