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Publikationen (seit 2014)

Diese Seite gibt eine Übersicht der Publikationen des Fachgebiets seit 2014. (Informationen zu vorangegangenen Publikationen der Gruppe finden Sie hier.)

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Supervised Autoencoder Variants for End to End Anomaly Detection

Max Lübbering and Michael Gebauer and Rajkumar Ramamurthy and Rafet Sifa and Christian Bauckhage

Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part II, 566–581. 2021

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Blockchain-based Local Energy Grids: Advanced Use Cases and Architectural Considerations

Marco Peise and Jörn Kuhlenkamp and Anselm Busse and Jacob Eberhardt and Max-R. Ulbricht and Stefan Tai and Jörg Baus and Martin Kassebaum and Thorsten Zörner

Proceedings of The IEEE International Conference on Software Architecture (ICSA 2021). IEEE, 22-26. 2021

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TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering

Elias Grünewald and Frank Pallas

Proceedings of the 2021 Conference on Fairness, Accountability, and Transparency. Association for Computing Machinery. 2021

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Evaluating the Accuracy of Cloud NLP Services Using Ground-Truth Experiments

Frank Pallas and Dimitri Staufer and Jörn Kuhlenkamp

Proceedings of the IEEE International Conference on Big Data. IEEE. 2020

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All but One: FaaS Platform Elasticity Revisited

Jörn Kuhlenkamp and Sebastian Werner and Maria C. Borges and Dominik Ernst

SIGAPP Appl. Comput. Rev.. Association for Computing Machinery, 5–19. 2020

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Diminuendo! Tactics in Support of FaaS Migrations

Sebastian Werner and Jörn Kuhlenkamp and Frank Pallas and Niklas Anders and Nebi Mucaj and Olesia Tsaplina and Christian Schmidt and Kann Yildirim

Agile Processes in Software Engineering and Extreme Programming – Workshops. Springer International Publishing, 125–132. 2020

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zkRelay: Facilitating Sidechains using zkSNARK-based Chain-Relays

Martin Westerkamp and Jacob Eberhardt

2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) 2020

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Put Your Money Where Your Mouth Is - Towards Blockchain-based Consent Violation Detection

Jonathan Heiss and Max-R. Ulbricht and Jacob Eberhardt

Proceedings of The IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2020), 3-6, May 2020, Toronto, Canada 2020

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Privacy-Preserving Netting in Local Energy Grids

Jacob Eberhardt and Marco Peise and Dong-Ha Kim and Stefan Tai

Proceedings of The IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2020), 3-6, May 2020, Toronto, Canada 2020

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The Ifs and Buts of Less is More: A Serverless Computing Reality Check

Jörn Kuhlenkamp and Sebastian Werner and Stefan Tai

Proceedings of The International Conference on Cloud Engineering (IC2E 2020), 21-24 April 2020, Sydney, Australia 2020

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Towards Application-Layer Purpose-Based Access Control

Frank Pallas and Max-R. Ulbricht and Stefan Tai and Thomas Peikert and Marcel Reppenhagen and Daniel Wenzel and Paul Wille and Karl Wolf

Proceedings of The 35th ACM/SIGAPP Symposium on Applied Computing (SAC '20), March 30-April 3, 2020, Brno, Czech Republic, 1288-1296. 2020

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Benchmarking Elasticity of FaaS Platforms as a Foundation for Objective-driven Design of Serverless Applications

Jörn Kuhlenkamp and Sebastian Werner and Maria C. Borges and Dominik Ernst and Daniel Wenzel

Proceedings of The 35th ACM/SIGAPP Symposium on Applied Computing (SAC '20), March 30-April 3, 2020, Brno, Czech Republic 2020

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From Imbalanced Classification to Supervised Outlier Detection Problems: Adversarially Trained Auto Encoders

Max Lübbering and Rajkumar Ramamurthy and Michael Gebauer and Thiago Bell and Rafet Sifa and Christian Bauckhage

International Conference on Artificial Neural Networks, 27–38. 2020

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A secure and extensible blockchain-based data provenance framework for the Internet of Things

Marten Sigwart and Michael Borkowski and Marco Peise and Stefan Schulte and Stefan Tai

Personal and Ubiquitous Computing. Springer, 1–15. 2020

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