Safe FBDC Veröffentlichungen

Khatuna, Mahfuza and Siddiqui, Sikandar: "Testing pairs of continuous random variables for independence: A simple heuristic", Journal of Computational Mathematics and Data Science/1, September 2021

Deloitte

Christian Kuessner, Ragnar Mogk, Anna-Katharina Wickert, Mira Mezini: Secure Coordination-free Intermediaries for Local-first Software. Eingereicht bei ECOOP 2022.

Technische Universität Darmstadt

Muhammad El-Hindi, Zheguang Zhao, and Carsten Binnig: ACID-V: Towards a new class of DBMSs for Data Sharing. Poly@VLDB'21

Technische Universität Darmstadt

Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting: DP-CTGAN: Differentially Private Medical Data Generation using CTGANs.

Technische Universität Darmstadt

Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting: CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability. Accepted for publication in International Conference on Representation Learning (ICLR), 2022

Technische Universität Darmstadt

Sebastian Sztwiertnia, Maximilian Grübel, Amine Chouchane, Daniel Sokolowski, Krishna Narasimhan, and Mira Mezini. 2021. Impact of programming languages on machine learning bugs. In Proceedings of the 1st ACM International Workshop on AI and Software Testing/Analysis (AISTA 2021). Association for Computing Machinery, New York, NY, USA, 9–12.

Technische Universität Darmstadt

Foad Jafarinejad, Krishna Narasimhan, and Mira Mezini. 2021. NerdBug: automated bug detection in neural networks. Proceedings of the 1st ACM International Workshop on AI and Software Testing/Analysis. Association for Computing Machinery, New York, NY, USA, 13–16.

Technische Universität Darmstadt

Aidmar Wainakh, Fabrizio Ventola, Till Müßig, Jens Keim, Carlos Garcia Cordero, Ephraim Zimmer, Tim Grube, Kristian Kersting, Max Mühlhäuser. 2022. User Label Leakage from Gradients in Federated Learning. Proceedings on Privacy Enhancing Technologies (PoPETS); a previous version also as arXiv preprint arXiv:2105.09369.

Technische Universität Darmstadt

Muhammad El-Hindi, Adrian Lutsch, Tobias Ziegler, Zheguang Zhao, Matthias Heinrich, Carsten Binnig: Benchmarking the Second Generation of Intel SGX Hardware in Data Management of new Hardware (DaMoN'22). Association for Computing Machinery, New York, NY, USA, Atricle 5, 1-8. Also in: König-Ries, B., Scherzinger, S., Lehner, W. & Vossen, G. (Hrsg.), BTW 2023. Gesellschaft für Informatik e.V.

Technische Universität Darmstadt

FATF (2022), Partnering in the Fight Against Financial Crime: Data Protection, Technology and Private Sector Information Sharing, FATF, Paris, France

n/a

Florian Hoffner, Sascha Steffen: "Estimating German Bank Climate Risk Exposure using the EU Emissions Trading System", 2022

Frankfurt School of Finance and Management

Pooja Prasad & Kristian Kersting: Federated Learning in Finance - FinFed, White paper

Technische Universität Darmstadt

Steven Lang, Martin Mundt, Fabrizio Ventola, Robert Peharz, Kristian Kersting; Elevating Perceptual Sample Quality in Probabilistic Circuits through Differentia-ble Sampling, Proceedings of Machine Learning Research 181:1-21 2022

Technische Universität Darmstadt

Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting: Predictive Whittle Networks for Time Series. In Uncertainty in Artificial Intelligence (UAI) 2022

Technische Universität Darmstadt

Jonas Seng, Pooja Prasad, Devendra Singh Dhami, Kristian Kersting: HANF: Hyperparameter And Neural Architecture Search in Federated Learning, arXiv pre-print:2206.12342, under review.

Technische Universität Darmstadt

David Richter, David Kretzler, Pascal Weisenburger, Guido Salvaneschi, Sebastian Faust, Mira Mezini: Prisma: A Tierless Language for Enforcing Contract-Client Protocols in Decentralized Applications. ECOOP 2022: 35:1-35:4

Technische Universität Darmstadt

Ragnar Mogk & Julian Haas: About Combining Functional Reactive Programming and Replicated Data Types. Workshop on Reactive and Event-Based Languages and Systems. December 2022 Auckland, New Zealand.

Technische Universität Darmstadt

Adrian Lutsch, Gagandeep Singh, Martin Mundt, Ragnar Mogk, Carsten Binnig: Benchmarking the Second Generation of Intel SGX for Machine Learning Work-loads. Accepted for the NoDMC Workshop at BTW2023

Technische Universität Darmstadt

Khatun, M., und S. Siddiqui (2022a): Estimating Conditional Event Probabilities with Mixed Regressors: A Weighted Nearest Neighbour Approach. Zur Veröffentlichung an-genommen in STATISTIKA (Prag, Herausgeber: Czech Statistical Office)

Deloitte

Khatun, M., und S. Siddiqui (2022b): A Data-Driven Approach to Multivariate Monte Carlo Simulation. Vorgestellt auf der Fachtagung “Advances in Theoretical and Applied Econometrics”, Universität Konstanz, 16.9.2022, und zur Veröffentlichung angenommen in Statistics & Applications

Deloitte

Acharya, V.V. Chauhan, S., R. Rajan, R., und S. Steffen, (2022): Liquidity Dependence: Why Shrinking Central Bank Balance Sheets is an Uphill Task, SSRN.

Frankfurt School of Finance and Management

Imbierowicz, B., Saunders, A., und Steffen, S. (2021) Are risky banks disciplined by large corporate depositors? SSRN.

Frankfurt School of Finance and Management

Jonas Geisen, Luisa Kruse, Dr. Sebastian Schäfer: "Orchestrating innovation ecosystems: the European Financial Big Data Cluster" in "FINDER – Fostering Innovation Networks in a Digital Era", Radboud University 2023, 85-100.

TechQuartier

Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting: Probabilistic Circuits That Know What They Don't Know. In Uncertainty in Artificial Intelligence (UAI) 2023

Technische Universität Darmstadt

Steven Braun, Martin Mundt, Kristian Kersting: Deep Classifier Mimicry without Data Access.

Technische Universität Darmstadt

Subarnaduti Paul, Lars-Joel Frey, Roshni Kamath, Kristian Kersting, Martin Mundt: Masked Autoencoders are Efficient Continual Federated Learners

Technische Universität Darmstadt

Felix Martini, Zacharias Sautner, Sascha Steffen und Carola Theunisz: Climate Transition of Banks, Swiss Finance Institute Research Paper No. 23-66

Frankfurt School of Finance and Management

Benjamin Born, Hrishbh Dalal, Nora Lamersdorf und and Sascha Steffen: Measuring inflation expectations using twitter data, 2023.

Frankfurt School of Finance and Management