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Publication search results
found 102 matches
- 2024
- Vincent Freiberger, Erik Buchmann:
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies. IWSPA@CODASPY 2024: 15-22 - Anika Hannemann, Benjamin Friedl, Erik Buchmann:
Differentially Private Multi-Label Learning Is Harder Than You'd Think. EuroS&P Workshops 2024: 40-47 - Anika Hannemann, Jan Ewald, Leo Seeger, Erik Buchmann:
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs. ICCS (4) 2024: 279-293 - Mario Hoffmann, Erik Buchmann:
ChatSEC - Towards Enhancing Security Vulnerability Reports for Non-Experts. MuC (Workshopband) 2024 - Victor Jüttner, Arthur Fleig, Erik Buchmann:
ChatAnalysis: Can GPT-4 undermine Privacy in Smart Homes with Data Analysis? MuC (Workshopband) 2024 - Vincent Freiberger, Erik Buchmann:
Fairness Certification for Natural Language Processing and Large Language Models. CoRR abs/2401.01262 (2024) - Anika Hannemann, Jan Ewald, Leo Seeger, Erik Buchmann:
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs. CoRR abs/2402.14527 (2024) - Vincent Freiberger, Erik Buchmann:
Legally Binding but Unfair? Towards Assessing Fairness of Privacy Policies. CoRR abs/2403.08115 (2024) - 2023
- Erik Buchmann, Andreas Thor:
Online Exams in the Era of ChatGPT. DELFI 2023: 15 - Victor Jüttner, Erik Buchmann:
Die Entwicklung eines digitalen Praktikums der Cybersicherheit im Bereich "Smart Home". DELFI 2023: 23 - Anika Hannemann, Erik Buchmann:
Is Homomorphic Encryption Feasible for Smart Mobility? FedCSIS 2023: 523-532 - Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün:
A Privacy-Preserving Framework for Collaborative Machine Learning with Kernel Methods. TPS-ISA 2023: 82-90 - Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün:
A Privacy-Preserving Federated Learning Approach for Kernel methods. CoRR abs/2306.02677 (2023) - Anika Hannemann, Erik Buchmann:
Is Homomorphic Encryption Feasible for Smart Mobility? CoRR abs/2306.04195 (2023) - Victor Jüttner, Martin Grimmer, Erik Buchmann:
ChatIDS: Explainable Cybersecurity Using Generative AI. CoRR abs/2306.14504 (2023) - 2022
- Christoph Haar, Erik Buchmann:
IoT Security With INFINITE: The 3-Dimensional Internet Of Things Maturity Model. IOTSMS 2022: 1-8 - Jeremy Barnes, Laura Oberländer, Enrica Troiano, Andrey Kutuzov, Jan Buchmann, Rodrigo Agerri, Lilja Øvrelid, Erik Velldal:
SemEval 2022 Task 10: Structured Sentiment Analysis. SemEval@NAACL 2022: 1280-1295 - 2021
- Christoph Haar, Erik Buchmann:
Securing Orchestrated Containers with BSI Module SYS.1.6. ICISSP 2021: 676-683 - Erik Buchmann, Serda Hauser:
Text Mining for Standardized Quality Criteria of Natural-Language IT-Requirements. RE 2021: 390-395 - 2019
- Erik Buchmann, Susanne Eichhorn:
Auskunftsersuchen nach Art. 15 DSGVO. Datenschutz und Datensicherheit 43(2): 65-70 (2019) - Christoph Haar, Erik Buchmann:
Fane: A Firewall Appliance For The Smart Home. FedCSIS 2019: 449-458 - Marcin Robak, Erik Buchmann:
Deriving Workflow Privacy Patterns from Legal Documents. FedCSIS 2019: 555-563 - Marcin Robak, Erik Buchmann:
How to Extract Workflow Privacy Patterns from Legal Documents. AITM/ISM@FedCSIS 2019: 214-234 - Erik Buchmann, Franziska Plate:
Ende-zu-Ende-Sicherheit für die multimodale Mobilität in einer Smart City. GI-Jahrestagung 2019: 493-506 - Christoph Haar, Erik Buchmann:
IT-Grundschutz für die Container-Virtualisierung mit dem neuen BSI-Baustein SYS 1.6. GI-Jahrestagung 2019: 479-492 - 2018
- Alexandra Janssen, Franziska Plate, Dominik Schneider, Erik Buchmann, Jürgen Anke:
Entwicklung eines Beschreibungsschemas für Workflow Privacy Patterns. MKWI 2018: 357-368 - Erik Buchmann, Andreas Hartmann, Stephanie Bauer:
Informationssicherheitskonzept nach IT-Grundschutz für Containervirtualisierung in der Cloud. Sicherheit 2018: 235-248 - 2017
- Pavel Efros, Erik Buchmann, Adrian Englhardt, Klemens Böhm:
How to Quantify the Impact of Lossy Transformations on Event Detection. Big Data Res. 9: 84-97 (2017) - Gregor Hollmig, Matthias Horne, Simon Leimkühler, Frederik Schöll, Carsten Strunk, Adrian Englhardt, Pavel Efros, Erik Buchmann, Klemens Böhm:
An evaluation of combinations of lossy compression and change-detection approaches for time-series data. Inf. Syst. 65: 65-77 (2017) - Erik Buchmann, Jürgen Anke:
Privacy Patterns in Business Processes. GI-Jahrestagung 2017: 793-798
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