Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Frank Pallas"'
Publikováno v:
TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, Vol 26, Iss 1-2 (2017)
Wenn BürgerInnen aktiv am Datengewinnungsprozess als zentralem Baustein empirisch ausgerichteter wissenschaftlicher Projekte teilhaben, kann dies als Beitrag zu einer offenen und bürgernahen Wissenschaft angesehen werden. Eine solche Teilhabe kann
Externí odkaz:
https://doaj.org/article/16421d6c190e4582879ab104464ba808
Publikováno v:
IEEE Internet Computing. 24:15-21
Despite broad discussions on privacy challenges arising from fog computing, the authors argue that privacy and security requirements might actually drive the adoption of fog computing. They present four patterns of fog computing fostering data privac
Autor:
Michèle Finck, Frank Pallas
Publikováno v:
International Data Privacy Law. 10:11-36
In this article, we examine the concept of non-personal data from a law and computer science perspective. The delineation between personal data and non-personal data is of paramount importance to determine the GDPR’s scope of application. This exer
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031099168
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50e0b99adca143dd4295584e3a6a805f
https://doi.org/10.1007/978-3-031-09917-5_22
https://doi.org/10.1007/978-3-031-09917-5_22
Publikováno v:
2021 IEEE 25th International Enterprise Distributed Object Computing Conference (EDOC).
Purpose limitation is an important privacy principle to ensure that personal data may only be used for the declared purposes it was originally collected for. Ensuring compliance with respective privacy regulations like the GDPR, which codify purpose
Publikováno v:
EuroS&P Workshops
Transparency - the provision of information about what personal data is collected for which purposes, how long it is stored, or to which parties it is transferred - is one of the core privacy principles underlying regulations such as the GDPR. Techni
TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering
Autor:
Frank Pallas, Elias Grünewald
Publikováno v:
FAccT
In this paper, we present TILT, a transparency information language and toolkit explicitly designed to represent and process transparency information in line with the requirements of the GDPR and allowing for a more automated and adaptive use of such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::931bd567d9d679542801c661d3ad21ec
http://arxiv.org/abs/2012.10431
http://arxiv.org/abs/2012.10431
Publikováno v:
IEEE BigData
Cloud services for natural language processing (NLP) increasingly establish as viable alternatives to self-maintained and self-trained NLP pipelines. In particular, they feature low access barriers and management overhead, a pay-as-you-go pricing mod
Autor:
Sokratis Katsikas, Frédéric Cuppens, Christos Kalloniatis, John Mylopoulos, Frank Pallas, Jörg Pohle, M. Angela Sasse, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Jorge Maestre Vidal, Marco Antonio Sotelo Monge, Massimiliano Albanese, Basel Katt, Sandeep Pirbhulal, Ankur Shukla
This book constitutes the refereed proceedings of seven International Workshops which were held in conjunction with the 27th European Symposium on Research in Computer Security, ESORICS 2022, held in hybrid mode, in Copenhagen, Denmark, during Septem
Autor:
Max-R. Ulbricht, Karl Wolf, Thomas Peikert, Paul Wille, Frank Pallas, Marcel Reppenhagen, Daniel Wenzel, Stefan Tai
Publikováno v:
SAC
In this paper, we propose an architecturally novel approach to implementing purpose-based access control in practice. Different from previous proposals, our approach resides on the application instead of the data(base) layer. This allows for signific