Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Grünewald, Elias"'
Autor:
Kiesel, Jannis, Grünewald, Elias
Ever-increasingly complex business processes are enabled by loosely coupled cloud-native systems. In such fast-paced development environments, data controllers face the challenge of capturing and updating all personal data processing activities due t
Externí odkaz:
http://arxiv.org/abs/2406.09960
Autor:
Loechel, Louis, Akbayin, Siar-Remzi, Grünewald, Elias, Kiesel, Jannis, Strelnikova, Inga, Janke, Thomas, Pallas, Frank
gRPC is at the heart of modern distributed system architectures. Based on HTTP/2 and Protocol Buffers, it provides highly performant, standardized, and polyglot communication across loosely coupled microservices and is increasingly preferred over RES
Externí odkaz:
http://arxiv.org/abs/2404.05598
Transparency and accountability are indispensable principles for modern data protection, from both, legal and technical viewpoints. Regulations such as the GDPR, therefore, require specific transparency information to be provided including, e.g., pur
Externí odkaz:
http://arxiv.org/abs/2309.00382
Transparency is one of the most important principles of modern privacy regulations, such as the GDPR or CCPA. To be compliant with such regulatory frameworks, data controllers must provide data subjects with precise information about the collection,
Externí odkaz:
http://arxiv.org/abs/2306.02496
Machine-readable representations of privacy policies are door openers for a broad variety of novel privacy-enhancing and, in particular, transparency-enhancing technologies (TETs). In order to generate such representations, transparency information n
Externí odkaz:
http://arxiv.org/abs/2305.15006
Transparency and data portability are two core principles of modern privacy legislations such as the GDPR. From the regulatory perspective, providing individuals (data subjects) with access to their data is a main building block for implementing thes
Externí odkaz:
http://arxiv.org/abs/2305.03471
Autor:
Grünewald, Elias, Halkenhäußer, Johannes M., Leschke, Nicola, Washington, Johanna, Paupini, Cristina, Pallas, Frank
Transparency regarding the processing of personal data in online services is a necessary precondition for informed decisions on whether or not to share personal data. In this paper, we argue that privacy interfaces shall incorporate the context of di
Externí odkaz:
http://arxiv.org/abs/2302.10991
Autor:
Grünewald, Elias, Schurbert, Leonard
Cloud native systems are processing large amounts of personal data through numerous and possibly multi-paradigmatic data stores (e.g., relational and non-relational databases). From a privacy engineering perspective, a core challenge is to keep track
Externí odkaz:
http://arxiv.org/abs/2209.10412
Federated learning may be subject to both global aggregation attacks and distributed poisoning attacks. Blockchain technology along with incentive and penalty mechanisms have been suggested to counter these. In this paper, we explore verifiable off-c
Externí odkaz:
http://arxiv.org/abs/2206.11641
The purpose of regulatory data minimization obligations is to limit personal data to the absolute minimum necessary for a given context. Beyond the initial data collection, storage, and processing, data minimization is also required for subsequent da
Externí odkaz:
http://arxiv.org/abs/2203.09903