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publications_expanded.bib
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@InProceedings{ Adilova2017MakingEfficient,
author = {Linara Adilova and Sven Giesselbach and Stefan Rüping},
title = {Making Efficient Use of a Domain Expert's Time in Relation Extraction},
year = {2017},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)},
url = {https://arxiv.org/abs/1807.04687}
}
@InProceedings{ Kamp2018EfficientDecentralized,
author = {Michael Kamp and Linara Adilova and Joachim Sicking and Fabian Hüger and Peter Schlicht and Tim Wirtz and Stefan Wrobel},
title = {Efficient Decentralized Deep Learning by Dynamic Model Averaging},
year = {2018},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Workshops},
url = {https://doi.org/10.1007/978-3-030-10925-7_24}
}
@InProceedings{ Nguyen2018DesigningVisualisation,
author = {Phong H. Nguyen and Siming Chen and Natalia Andrienko and Michael Kamp and Linara Adilova and Gennady Andrienko and Olivier Thonnard and Alysson Bessani and Cagatay Turkay},
title = {Designing Visualisation Enhancements for {{SIEM}} Systems},
year = {2018},
booktitle = {IEEE Symposium on Visualization for Cyber Security (VizSec)},
url = {https://vizsec.org/files/2018/Nguyen_Poster_Designing%20Visualisation%20Enhancements.pdf}
}
@InProceedings{ Adilova2019IntroducingNoise,
author = {Linara Adilova and Nathalie Paul and Peter Schlicht},
title = {Introducing Noise in Decentralized Training of Neural Networks},
year = {2019},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)},
url = {https://doi.org/10.1007/978-3-030-14880-5_4}
}
@InProceedings{ Adilova2019Information-TheoreticPerspective,
author = {Linara Adilova and Julia Rosenzweig and Michael Kamp},
title = {Information-Theoretic Perspective of Federated Learning},
year = {2019},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS) Workshops},
url = {https://arxiv.org/abs/1911.07652}
}
@Article{ Chen2019LDAEnsembles,
author = {Siming Chen and Natalia Andrienko and Gennady Andrienko and Linara Adilova and Jeremie Barlet and Jörg Kindermann and Phong H. Nguyen and Olivier Thonnard and Cagatay Turkay},
title = {{{LDA}} Ensembles for Interactive Exploration and Categorization of Behaviors},
year = {2019},
journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)},
url = {https://doi.org/10.1109/TVCG.2019.2904069}
}
@Article{ Adilova2021NoveltyDetection,
author = {Linara Adilova and Siming Chen and Michael Kamp},
title = {Novelty Detection in Sequential Data by Informed Clustering and Modeling},
year = {2021},
journal = {arXiv Preprint},
url = {https://arxiv.org/abs/2103.03943}
}
@InProceedings{ Linsner2021Approachesto,
author = {Florian Linsner and Linara Adilova and Sina Däubener and Michael Kamp and Asja Fischer},
title = {Approaches to Uncertainty Quantification in Federated Deep Learning},
year = {2021},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Workshops},
url = {https://doi.org/10.1007/978-3-030-93736-2_12}
}
@InProceedings{ Pizarro2021RobustifyingAutomatic,
author = {Matías Pizarro and Dorothea Kolossa and Asja Fischer},
title = {Robustifying Automatic Speech Recognition by Extracting Slowly Varying Features},
year = {2021},
booktitle = {Symposium on Security and Privacy in Speech Communication (SPSC)},
url = {https://doi.org/10.21437/SPSC.2021-8}
}
@InProceedings{ Heilig2022MemoryEfficient,
author = {Simon Heilig and Maximilian Münch and Frank-Michael Schleif},
title = {Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels},
year = {2022},
booktitle = {International Joint Conference on Neural Networks (IJCNN)},
url = {https://doi.org/10.1109/IJCNN55064.2022.9892153}
}
@MastersThesis{ Sun2022FederatedTransfer,
author = {Yulian Sun},
title = {Federated Transfer Learning with Multimodal Data},
year = {2022},
url = {https://arxiv.org/abs/2209.03137},
school = {Technical University of Darmstadt}
}
@InProceedings{ Adilova2023FAMRelative,
author = {Linara Adilova and Amr Abourayya and Jianning Li and Amin Dada and Henning Petzka and Jan Egger and Jens Kleesiek and Michael Kamp},
title = {{{FAM}}: Relative Flatness Aware Minimization},
year = {2023},
booktitle = {International Conference on Machine Learning (ICML) Workshops},
url = {https://proceedings.mlr.press/v221/adilova23a.html}
}
@InProceedings{ Adilova2023Layer-wiseLinear,
author = {Linara Adilova and Maksym Andriushchenko and Michael Kamp and Asja Fischer and Martin Jaggi},
title = {Layer-wise Linear Mode Connectivity},
year = {2023},
booktitle = {International Conference on Learning Representations (ICLR)},
url = {https://openreview.net/forum?id=LfmZh91tDI}
}
@TechReport{ Adilova2023Securityof,
author = {Linara Adilova and Konstantin Böttinger and Vasilios Danos and Sven Jacob and Fabian Langer and Thora Markert and Maximilian Poretschkin and Julia Rosenzweig and Jan-Philipp Schulze and Philip Sperl},
title = {Security of {{AI}}-Systems: Fundamentals},
year = {2023},
institution = {BSI},
url = {https://www.bsi.bund.de/SharedDocs/Downloads/EN/BSI/KI/Security-of-AI-systems_fundamentals.html}
}
@Article{ Adilova2023Re-interpretingRules,
author = {Linara Adilova and Michael Kamp and Gennady Andrienko and Natalia Andrienko},
title = {Re-interpreting Rules Interpretability},
year = {2023},
journal = {International Journal of Data Science and Analytics},
url = {https://doi.org/10.1007/s41060-023-00398-5}
}
@Article{ Dai2023ForceHighly,
author = {Tianxiang Dai and Li Duan and Yufan Jiang and Yong Li and Fei Mei and Yulian Sun},
title = {Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on {{GPU}}},
year = {2023},
journal = {Cryptology ePrint Archive},
url = {https://ia.cr/2023/493}
}
@InProceedings{ Damm2023ELBOof,
author = {Simon Damm and Dennis Forster and Dmytro Velychko and Zhenwen Dai and Asja Fischer and Jörg Lücke},
title = {The {{ELBO}} of variational autoencoders converges to a sum of entropies},
year = {2023},
booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
url = {https://proceedings.mlr.press/v206/damm23a.html}
}
@Article{ Münch2023Staticand,
author = {Maximilian Münch and Manuel Röder and Simon Heilig and Christoph Raab and Frank-Michael Schleif},
title = {Static and Adaptive Subspace Information Fusion for Indefinite Heterogeneous Proximity Data},
year = {2023},
journal = {Neurocomputing},
url = {https://doi.org/10.1016/j.neucom.2023.126635}
}
@TechReport{ Poretschkin2023Guidelinefor,
author = {Maximilian Poretschkin and Anna Schmitz and Maram Akila and Linara Adilova and Daniel Becker and Armin B. Cremers and Dirk Hecker and Sebastian Houben and Michael Mock and Julia Rosenzweig and others},
title = {Guideline for Designing Trustworthy Artificial Intelligence},
year = {2023},
institution = {Fraunhofer IAIS},
url = {https://www.iais.fraunhofer.de/en/research/artificial-intelligence/ai-assessment-catalog.html}
}
@InProceedings{ Adilova2024InformationPlane,
author = {Linara Adilova and Bernhard C. Geiger and Asja Fischer},
title = {Information Plane Analysis for Dropout Neural Networks},
year = {2024},
booktitle = {International Conference on Learning Representations (ICLR)},
url = {https://openreview.net/forum?id=bQB6qozaBw}
}
@InProceedings{ Frank2024RepresentativeStudy,
author = {Frank, Joel and Herbert, Franziska and Ricker, Jonas and Schönherr, Lea and Eisenhofer, Thorsten and Fischer, Asja and Dürmuth, Markus and Holz, Thorsten},
title = {A Representative Study on Human Detection of Artificially Generated Media Across Countries},
year = {2024},
booktitle = {IEEE Symposium on Security and Privacy (SP)},
url = {https://doi.org/10.1109/SP54263.2024.00159}
}
@InProceedings{ Laszkiewicz2024Single-ModelAttribution,
author = {Laszkiewicz, Mike and Ricker, Jonas and Lederer, Johannes and Fischer, Asja},
title = {Single-Model Attribution of Generative Models Through Final-Layer Inversion},
year = {2024},
booktitle = {International Conference on Machine Learning (ICML)},
url = {https://proceedings.mlr.press/v235/laszkiewicz24a.html}
}
@Article{ Mavali2024FakeIt,
author = {Sina Mavali and Jonas Ricker and David Pape and Yash Sharma and Asja Fischer and Lea Schönherr},
title = {Fake It Until You Break It: On the Adversarial Robustness of {{AI}}-generated Image Detectors},
year = {2024},
journal = {arXiv Preprint},
url = {https://arxiv.org/abs/2410.01574}
}
@InProceedings{ Pizarro2024DistriBlockIdentifying,
author = {Matías Pizarro and Dorothea Kolossa and Asja Fischer},
title = {{{DistriBlock}}: Identifying Adversarial Audio Samples by Leveraging Characteristics of the Output Distribution},
year = {2024},
booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
url = {https://proceedings.mlr.press/v244/pizarro24a.html}
}
@Article{ Pizarro2024Single-ModelAttribution,
author = {Matías Pizarro and Mike Laszkiewicz and Dorothea Kolossa and Asja Fischer},
title = {Single-Model Attribution for Spoofed Speech via Vocoder Fingerprints in an Open-World Setting},
year = {2024},
journal = {arXiv Preprint},
url = {https://arxiv.org/abs/2411.14013}
}
@InProceedings{ Pizzi2024ReassessingNoise,
author = {Karla Pizzi and Matías Pizarro and Asja Fischer},
title = {Reassessing Noise Augmentation Methods in the Context of Adversarial Speech},
year = {2024},
booktitle = {Symposium on Security and Privacy in Speech Communication (SPSC)},
url = {https://doi.org/10.21437/SPSC.2024-5}
}
@InProceedings{ Ricker2024AI-GeneratedFaces,
author = {Ricker, Jonas and Assenmacher, Dennis and Holz, Thorsten and Fischer, Asja and Quiring, Erwin},
title = {{{AI}}-Generated Faces in the Real World: A Large-Scale Case Study of {{Twitter}} Profile Images},
year = {2024},
booktitle = {International Symposium on Research in Attacks, Intrusions and Defenses (RAID)},
url = {https://doi.org/10.1145/3678890.3678922}
}
@InProceedings{ Ricker2024TowardsDetection,
author = {Jonas Ricker and Simon Damm and Thorsten Holz and Asja Fischer},
title = {Towards the Detection of Diffusion Model Deepfakes},
year = {2024},
booktitle = {International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)},
url = {https://doi.org/10.5220/0012422000003660}
}
@InProceedings{ Ricker2024AEROBLADETraining-Free,
author = {Ricker, Jonas and Lukovnikov, Denis and Fischer, Asja},
title = {{{AEROBLADE}}: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error},
year = {2024},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
url = {https://doi.org/10.1109/CVPR52733.2024.00872}
}
@Article{ Salazer2024ArtificialIntelligence,
author = {Thomas L. Salazer and Naitik Sheth and Avais Masud and David Serur and Guillermo Hidalgo and Iram Aqeel and Linara Adilova and Michael Kamp and Tim Fitzpatrick and Sriram Krishnan and others},
title = {Artificial Intelligence ({{AI}})-Driven Screening for Undiscovered {{CKD}}: {{TH-PO009}}},
year = {2024},
journal = {Journal of the American Society of Nephrology (JASN)},
url = {https://doi.org/10.1681/ASN.2024zm5zyd3x}
}
@Article{ Singh2024LandscapingLinear,
author = {Sidak Pal Singh and Linara Adilova and Michael Kamp and Asja Fischer and Bernhard Schölkopf and Thomas Hofmann},
title = {Landscaping Linear Mode Connectivity},
year = {2024},
journal = {arXiv Preprint},
url = {https://arxiv.org/abs/2406.16300}
}
@InProceedings{ Sun2024ExploitingInternal,
author = {Yulian Sun and Li Duan and Ricardo Mendes and Derui Zhu and Yue Xia and Yong Li and Asja Fischer},
title = {Exploiting Internal Randomness for Privacy in Vertical Federated Learning},
year = {2024},
booktitle = {European Symposium on Research in Computer Security (ESORICS)},
url = {https://doi.org/10.1007/978-3-031-70890-9_20}
}
@Article{ Sun2024PSYPosterior,
author = {Yulian Sun and Li Duan and Yong Li},
title = {{{PSY}}: Posterior Sampling Based Privacy Enhancer in Large Language Models},
year = {2024},
journal = {arXiv Preprint},
url = {https://arxiv.org/abs/2410.18824}
}
@InProceedings{ Velychko2024Learningsparse,
author = {Dmytro Velychko and Simon Damm and Asja Fischer and Jörg Lücke},
title = {Learning sparse codes with entropy-based {{ELBOs}}},
year = {2024},
booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
url = {https://proceedings.mlr.press/v238/velychko24a.html}
}
@Article{ Walter2024UncannyValley,
author = {Nils Philipp Walter and Linara Adilova and Jilles Vreeken and Michael Kamp},
title = {The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective},
year = {2024},
journal = {arXiv Preprint},
url = {https://arxiv.org/abs/2405.16918}
}
@InProceedings{ Damm2025AnomalyDINOBoosting,
author = {Simon Damm and Mike Laszkiewicz and Johannes Lederer and Asja Fischer},
title = {{{AnomalyDINO}}: Boosting Patch-based Few-shot Anomaly Detection with {{DINOv2}}},
year = {2025},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
url = {https://openaccess.thecvf.com/content/WACV2025/html/Damm_AnomalyDINO_Boosting_Patch-Based_Few-Shot_Anomaly_Detection_with_DINOv2_WACV_2025_paper.html}
}
@InProceedings{ Heilig2025Port-HamiltonianArchitectural,
author = {Simon Heilig and Alessio Gravina and Alessandro Trenta and Claudio Gallicchio and Davide Bacciu},
title = {{{Port-Hamiltonian}} Architectural Bias for Long-Range Propagation in Deep Graph Networks},
year = {2025},
booktitle = {International Conference on Learning Representations (ICLR)},
url = {https://openreview.net/forum?id=03EkqSCKuO}
}
@InProceedings{ Müller2025Black-BoxForgery,
author = {Andreas Müller and Denis Lukovnikov and Jonas Thietke and Asja Fischer and Erwin Quiring},
title = {Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models},
year = {2025},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
url = {https://arxiv.org/abs/2412.03283}
}