Publications

Alexander Warnecke, Julian Speith, Jan-Niklas Möller, Konrad Rieck, Christof Paar

Evil from Within: Machine Learning Backdoor through Hardware Trojans

April 18, 2023

https://arxiv.org/pdf/2304.08411

Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon

Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks

April 12, 2023

https://doi.org/10.1016/j.inffus.2023.102094

Kristof T. Schütt, Stefaan S.P. Hessmann, Niklas W.A. Gebauer, Jonas Lederer, Michael Gastegger

SchNetPack 2.0: A neural network toolbox for atomistic machine learning

April 12, 2023

https://doi.org/10.1063/5.0138367

Alexander Bauer, Shinichi Nakajima, Klaus-Robert Müller

Polynomial-Time Constrained Message Passing for Exact MAP Inference on Discrete Models with Global Dependencies

April 07, 2023

https://www.mdpi.com/2227-7390/11/12/2628

Lennart Behme, Saravanan Thirumuruganathan, Alireza Rezaei Mahdiraji, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines

April 03, 2023

https://doi.org/10.1109/ICDE55515.2023.00077

Ankit Chaudhary, Jeyhun Karimov, Steffen Zeuch, Volker Markl

Incremental Stream Query Merging

March 28, 2023

https://openproceedings.org/2023/conf/edbt/3-paper-69.pdf

David Lassner, Stephanie Brandl, Anne Baillot, Shinichi Nakajima

Domain-Specific Word Embeddings with Structure Prediction

March 27, 2023

https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00538/115372/Domain-Specific-Word-Embeddings-with-Structure

Michele Scalas, Konrad Rieck, Giorgio Giacinto

Improving Malware Detection with Explainable Machine Learning

March 17, 2023

https://doi.org/10.1016/B978-0-32-396098-4.00017-X

Manisha Luthra, Andreas Kipf, Matthias Böhm

A Tutorial Workshop on ML for Systems and Systems for ML

March 07, 2023

https://dl.gi.de/handle/20.500.12116/40350

Henriette Behr, Volker Markl, Zoi Kaoudi

Learn What Really Matters: A Learning-to-Rank Approach for ML-based Query Optimization

March 06, 2023

https://doi.org/10.18420/BTW2023-64