2025
Simon Damm, Mike Laszkiewicz, Johannes Lederer, Asja Fischer
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Proceedings Article
In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
@inproceedings{damm2024anomalydino,
title = {AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2},
author = {Simon Damm and Mike Laszkiewicz and Johannes Lederer and Asja Fischer},
url = {https://arxiv.org/abs/2405.14529},
year = {2025},
date = {2025-01-01},
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Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks Proceedings Article
In: The Thirteenth International Conference on Learning Representations (ICLR), 2025.
@inproceedings{<LineBreak>heilig2025porthamiltonian,
title = {Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks},
author = {Simon Heilig and Alessio Gravina and Alessandro Trenta and Claudio Gallicchio and Davide Bacciu},
url = {https://openreview.net/forum?id=03EkqSCKuO},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
booktitle = {The Thirteenth International Conference on Learning Representations (ICLR)},
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2024
Jonas Ricker, Dennis Assenmacher, Thorsten Holz, Asja Fischer, Erwin Quiring
AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images Proceedings Article
In: International Symposium on Research in Attacks, Intrusions, and Defenses (RAID), 2024.
@inproceedings{ricker_ai_2024,
title = {AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images},
author = {Jonas Ricker and Dennis Assenmacher and Thorsten Holz and Asja Fischer and Erwin Quiring},
url = {https://doi.org/10.1145/3678890.3678922
https://arxiv.org/abs/2404.14244},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
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Jonas Ricker, Denis Lukovnikov, Asja Fischer
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error Proceedings Article
In: IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.
@inproceedings{ricker_aeroblade_2024,
title = {AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error},
author = {Jonas Ricker and Denis Lukovnikov and Asja Fischer},
url = {https://doi.org/10.1109/CVPR52733.2024.00872
https://arxiv.org/abs/2401.17879},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
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Sina Mavali, Jonas Ricker, David Pape, Yash Sharma, Asja Fischer, Lea Schönherr
Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors Artikel
In: arXiv Preprint, 2024.
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url = {https://arxiv.org/abs/2410.01574},
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Mike Laszkiewicz, Jonas Ricker, Johannes Lederer, Asja Fischer
Single-Model Attribution of Generative Models Through Final-Layer Inversion Proceedings Article
In: International Conference on Machine Learning (ICML), 2024.
@inproceedings{laszkiewicz_single_2024,
title = {Single-Model Attribution of Generative Models Through Final-Layer Inversion},
author = {Mike Laszkiewicz and Jonas Ricker and Johannes Lederer and Asja Fischer},
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https://arxiv.org/abs/2306.06210},
year = {2024},
date = {2024-01-01},
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Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer
Towards the Detection of Diffusion Model Deepfakes Proceedings Article
In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 2024.
@inproceedings{ricker_towards_2024,
title = {Towards the Detection of Diffusion Model Deepfakes},
author = {Jonas Ricker and Simon Damm and Thorsten Holz and Asja Fischer},
url = {https://doi.org/10.5220/0012422000003660
https://arxiv.org/abs/2210.14571},
year = {2024},
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Joel Frank, Franziska Herbert, Jonas Ricker, Lea Schönherr, Thorsten Eisenhofer, Asja Fischer, Markus Dürmuth, Thorsten Holz
A Representative Study on Human Detection of Artificially Generated Media Across Countries Proceedings Article
In: IEEE Symposium on Security and Privacy (S&P), 2024.
@inproceedings{frank_representative_2024,
title = {A Representative Study on Human Detection of Artificially Generated Media Across Countries},
author = {Joel Frank and Franziska Herbert and Jonas Ricker and Lea Schönherr and Thorsten Eisenhofer and Asja Fischer and Markus Dürmuth and Thorsten Holz},
url = {https://doi.ieeecomputersociety.org/10.1109/SP54263.2024.00159
https://arxiv.org/abs/2312.05976},
year = {2024},
date = {2024-01-01},
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Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke
Learning sparse codes with entropy-based ELBOs Proceedings Article
In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
@inproceedings{velychko2024learning,
title = {Learning sparse codes with entropy-based ELBOs},
author = {Dmytro Velychko and Simon Damm and Asja Fischer and Jörg Lücke},
url = {https://proceedings.mlr.press/v238/velychko24a.html
https://arxiv.org/abs/2311.01888},
year = {2024},
date = {2024-01-01},
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Matías Pizarro, Mike Laszkiewicz, Dorothea Kolossa, Asja Fischer
Single-Model Attribution for Spoofed Speech via Vocoder Fingerprints in an Open-World Setting Artikel
In: arXiv Preprint, 2024.
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Karla Pizzi, Matías Pizarro, Asja Fischer
Reassessing Noise Augmentation Methods in the Context of Adversarial Speech Proceedings Article
In: Symposium on Security and Privacy in Speech Communication (SPSC), 2024.
@inproceedings{Pizzi2024NoiseAugmentation,
title = {Reassessing Noise Augmentation Methods in the Context of Adversarial Speech},
author = {Karla Pizzi and Matías Pizarro and Asja Fischer},
url = {https://arxiv.org/abs/2409.01813},
doi = {10.21437/SPSC.2024-5},
year = {2024},
date = {2024-01-01},
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Matías Pizarro, Dorothea Kolossa, Asja Fischer
DistriBlock: Identifying Adversarial Audio Samples by Leveraging Characteristics of the Output Distribution Proceedings Article
In: Conference on Uncertainty in Artificial Intelligence (UAI), 2024.
@inproceedings{Pizarro2024DistriBlock,
title = {DistriBlock: Identifying Adversarial Audio Samples by Leveraging Characteristics of the Output Distribution},
author = {Matías Pizarro and Dorothea Kolossa and Asja Fischer},
url = {https://proceedings.mlr.press/v244/pizarro24a.html
https://arxiv.org/abs/2305.17000},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
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Linara Adilova, Bernhard C. Geiger, Asja Fischer
Information Plane Analysis for Dropout Neural Networks Proceedings Article
In: International Conference on Learning Representations (ICLR), 2024.
@inproceedings{AdilovaPaper10_2024,
title = {Information Plane Analysis for Dropout Neural Networks},
author = {Linara Adilova and Bernhard C. Geiger and Asja Fischer},
url = {https://arxiv.org/abs/2303.00596},
year = {2024},
date = {2024-01-01},
booktitle = {International Conference on Learning Representations (ICLR)},
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Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann
Landscaping Linear Mode Connectivity Artikel
In: arXiv preprint, 2024.
@article{AdilovaPaper16_2024,
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author = {Sidak Pal Singh and Linara Adilova and Michael Kamp and Asja Fischer and Bernhard Schölkopf and Thomas Hofmann},
url = {https://arxiv.org/abs/2406.16300},
year = {2024},
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Yulian Sun, Li Duan, Ricardo Mendes, Derui Zhu, Yue Xia, Yong Li, Asja Fischer
Exploiting Internal Randomness for Privacy in Vertical Federated Learning Proceedings Article
In: European Symposium on Research in Computer Security (ESORICS), 2024.
@inproceedings{sun_2024_exploiting,
title = {Exploiting Internal Randomness for Privacy in Vertical Federated Learning},
author = {Yulian Sun and Li Duan and Ricardo Mendes and Derui Zhu and Yue Xia and Yong Li and Asja Fischer},
url = {https://doi.org/10.1007/978-3-031-70890-9_20
https://ia.cr/2024/671},
year = {2024},
date = {2024-01-01},
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Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Artikel
In: arXiv preprint, 2024.
@article{AdilovaPaper15_2024,
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author = {Nils Philipp Walter and Linara Adilova and Jilles Vreeken and Michael Kamp},
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year = {2024},
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Thomas L. Salazer, Naitik Sheth, Avais Masud, David Serur, Guillermo Hidalgo, Iram Aqeel, Linara Adilova, Michael Kamp, Tim Fitzpatrick, Sriram Krishnan, others
Artificial Intelligence (AI)-Driven Screening for Undiscovered CKD: TH-PO009 Artikel
In: Journal of the American Society of Nephrology, 2024.
@article{AdilovaPaper17_2024,
title = {Artificial Intelligence (AI)-Driven Screening for Undiscovered CKD: TH-PO009},
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},
url = {https://journals.lww.com/jasn/fulltext/2024/10001/artificial_intelligence__ai__driven_screening_for.335.aspx},
year = {2024},
date = {2024-01-01},
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Yulian Sun, Li Duan, Yong Li
PSY: Posterior Sampling Based Privacy Enhancer in Large Language Models Artikel
In: arXiv Preprint, 2024.
@article{sun_2024_psy,
title = {PSY: Posterior Sampling Based Privacy Enhancer in Large Language Models},
author = {Yulian Sun and Li Duan and Yong Li},
url = {https://arxiv.org/abs/2410.18824},
year = {2024},
date = {2024-01-01},
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2023
Simon Damm, Dennis Forster, Dmytro Velychko, Zhenwen Dai, Asja Fischer, Jörg Lücke
The ELBO of variational autoencoders converges to a sum of entropies Proceedings Article
In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
@inproceedings{damm2023elbo,
title = {The ELBO of variational autoencoders converges to a sum of entropies},
author = {Simon Damm and Dennis Forster and Dmytro Velychko and Zhenwen Dai and Asja Fischer and Jörg Lücke},
url = {https://proceedings.mlr.press/v206/damm23a.html
https://arxiv.org/abs/2010.14860},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
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Linara Adilova, Maksym Andriushchenko, Michael Kamp, Asja Fischer, Martin Jaggi
Layer-wise Linear Mode Connectivity Proceedings Article
In: International Conference on Learning Representations (ICLR), 2023.
@inproceedings{AdilovaPaper13_2023,
title = {Layer-wise Linear Mode Connectivity},
author = {Linara Adilova and Maksym Andriushchenko and Michael Kamp and Asja Fischer and Martin Jaggi},
url = {https://arxiv.org/abs/2307.06966},
year = {2023},
date = {2023-01-01},
booktitle = {International Conference on Learning Representations (ICLR)},
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Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data Artikel
In: Neurocomputing, 2023.
@article{munch_static_2023,
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author = {Maximilian Münch and Manuel Röder and Simon Heilig and Christoph Raab and Frank-Michael Schleif},
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year = {2023},
date = {2023-01-01},
journal = {Neurocomputing},
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Linara Adilova, Michael Kamp, Gennady Andrienko, Natalia Andrienko
Re-interpreting rules interpretability Artikel
In: International Journal of Data Science and Analytics, 2023.
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url = {https://link.springer.com/article/10.1007/s41060-023-00310-3},
year = {2023},
date = {2023-01-01},
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Linara Adilova, Konstantin Böttinger, Vasilios Danos, Sven Jacob, Fabian Langer, Thora Markert, Maximilian Poretschkin, Julia Rosenzweig, Jan-Philipp Schulze, Philip Sperl
Security of AI-Systems: Fundamentals Artikel
In: BSI, 2023.
@article{AdilovaPaper11_2023,
title = {Security of AI-Systems: Fundamentals},
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},
url = {https://www.bsi.bund.de/SharedDocs/Downloads/EN/BSI/KI/Security-of-AI-systems_fundamentals.html},
year = {2023},
date = {2023-01-01},
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Linara Adilova, Amr Abourayya, Jianning Li, Amin Dada, Henning Petzka, Jan Egger, Jens Kleesiek, Michael Kamp
FAM: Relative Flatness Aware Minimization Proceedings Article
In: ICML Workshops: Topological, Algebraic and Geometric Learning Workshops, 2023.
@inproceedings{AdilovaPaper12_2023,
title = {FAM: Relative Flatness Aware Minimization},
author = {Linara Adilova and Amr Abourayya and Jianning Li and Amin Dada and Henning Petzka and Jan Egger and Jens Kleesiek and Michael Kamp},
url = {https://arxiv.org/abs/2307.02337},
year = {2023},
date = {2023-01-01},
booktitle = {ICML Workshops: Topological, Algebraic and Geometric Learning Workshops},
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Maximilian Poretschkin, Anna Schmitz, Maram Akila, Linara Adilova, Daniel Becker, Armin B. Cremers, Dirk Hecker, Sebastian Houben, Michael Mock, Julia Rosenzweig, others
Guideline for Designing Trustworthy Artificial Intelligence Artikel
In: Fraunhofer IAIS, 2023.
@article{AdilovaPaper14_2023,
title = {Guideline for Designing Trustworthy Artificial Intelligence},
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},
url = {https://www.iais.fraunhofer.de/en/research/artificial-intelligence/ai-assessment-catalog.html},
year = {2023},
date = {2023-01-01},
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Tianxiang Dai, Li Duan, Yufan Jiang, Yong Li, Fei Mei, Yulian Sun
Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU Artikel
In: Cryptology ePrint Archive, 2023.
@article{sun_2023_force,
title = {Force: Highly Efficient Four-Party Privacy-Preserving Machine Learning on GPU},
author = {Tianxiang Dai and Li Duan and Yufan Jiang and Yong Li and Fei Mei and Yulian Sun},
url = {https://ia.cr/2023/493},
year = {2023},
date = {2023-01-01},
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2022
Simon Heilig, Maximilian Münch, Frank-Michael Schleif
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels Proceedings Article
In: International Joint Conference on Neural Networks (IJCNN), 2022.
@inproceedings{indefiniteMEKA,
title = {Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels},
author = {Simon Heilig and Maximilian Münch and Frank-Michael Schleif},
url = {https://ieeexplore.ieee.org/abstract/document/9892153
https://arxiv.org/abs/2112.09893},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {International Joint Conference on Neural Networks (IJCNN)},
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Yulian Sun
Federated Transfer Learning with Multimodal Data Abschlussarbeit
Technical University of Darmstadt, 2022.
@mastersthesis{sun_2022_thesis,
title = {Federated Transfer Learning with Multimodal Data},
author = {Yulian Sun},
url = {https://arxiv.org/abs/2209.03137},
year = {2022},
date = {2022-01-01},
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2021
Matías Pizarro, Dorothea Kolossa, Asja Fischer
Robustifying Automatic Speech Recognition by Extracting Slowly Varying Features Proceedings Article
In: Symposium on Security and Privacy in Speech Communication (SPSC), 2021.
@inproceedings{Pizarro2021SlowFeatures,
title = {Robustifying Automatic Speech Recognition by Extracting Slowly Varying Features},
author = {Matías Pizarro and Dorothea Kolossa and Asja Fischer},
url = {https://arxiv.org/abs/2112.07400},
doi = {10.21437/SPSC.2021-8},
year = {2021},
date = {2021-01-01},
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Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer
Approaches to Uncertainty Quantification in Federated Deep Learning Proceedings Article
In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021.
@inproceedings{linsner2021,
title = {Approaches to Uncertainty Quantification in Federated Deep Learning},
author = {Florian Linsner and Linara Adilova and Sina Däubener and Michael Kamp and Asja Fischer},
url = {https://link.springer.com/chapter/10.1007/978-3-030-93736-2_12},
year = {2021},
date = {2021-01-01},
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Linara Adilova, Siming Chen, Michael Kamp
Novelty Detection in Sequential Data by Informed Clustering and Modeling Artikel
In: arXiv preprint, 2021.
@article{AdilovaPaper8_2021,
title = {Novelty Detection in Sequential Data by Informed Clustering and Modeling},
author = {Linara Adilova and Siming Chen and Michael Kamp},
url = {https://arxiv.org/abs/2103.03943},
year = {2021},
date = {2021-01-01},
journal = {arXiv preprint},
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2019
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel
Efficient decentralized deep learning by dynamic model averaging Proceedings Article
In: Machine Learning and Knowledge Discovery in Databases (ECML PKDD), 2019.
@inproceedings{AdilovaPaper2_2019,
title = {Efficient decentralized deep learning by dynamic model averaging},
author = {Michael Kamp and Linara Adilova and Joachim Sicking and Fabian Hüger and Peter Schlicht and Tim Wirtz and Stefan Wrobel},
url = {https://link.springer.com/chapter/10.1007/978-3-030-10925-7_24},
year = {2019},
date = {2019-01-01},
booktitle = {Machine Learning and Knowledge Discovery in Databases (ECML PKDD)},
keywords = {},
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}
Linara Adilova, Nathalie Paul, Peter Schlicht
Introducing noise in decentralized training of neural networks Proceedings Article
In: ECML PKDD Workshops: DMLE 2018 and IoTStream 2018, 2019.
@inproceedings{AdilovaPaper3_2019,
title = {Introducing noise in decentralized training of neural networks},
author = {Linara Adilova and Nathalie Paul and Peter Schlicht},
url = {https://link.springer.com/chapter/10.1007/978-3-030-13453-2_5},
year = {2019},
date = {2019-01-01},
booktitle = {ECML PKDD Workshops: DMLE 2018 and IoTStream 2018},
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Siming Chen, Natalia Andrienko, Gennady Andrienko, Linara Adilova, Jeremie Barlet, Jörg Kindermann, Phong H. Nguyen, Olivier Thonnard, Cagatay Turkay
LDA ensembles for interactive exploration and categorization of behaviors Artikel
In: IEEE Transactions on Visualization and Computer Graphics, 2019.
@article{AdilovaPaper6_2019,
title = {LDA ensembles for interactive exploration and categorization of behaviors},
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},
url = {https://ieeexplore.ieee.org/document/8715504},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Visualization and Computer Graphics},
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Linara Adilova, Julia Rosenzweig, Michael Kamp
Information-Theoretic Perspective of Federated Learning Proceedings Article
In: NeurIPS Workshops, 2019.
@inproceedings{AdilovaPaper7_2019,
title = {Information-Theoretic Perspective of Federated Learning},
author = {Linara Adilova and Julia Rosenzweig and Michael Kamp},
url = {https://arxiv.org/abs/1911.07652},
year = {2019},
date = {2019-01-01},
booktitle = {NeurIPS Workshops},
keywords = {},
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}
2018
Linara Adilova, Sven Giesselbach, Stefan Rüping
Making Efficient Use of a Domain Expert's Time in Relation Extraction Proceedings Article
In: ECML PKDD Workshops: DMLE, 2018.
@inproceedings{AdilovaPaper1_2018,
title = {Making Efficient Use of a Domain Expert's Time in Relation Extraction},
author = {Linara Adilova and Sven Giesselbach and Stefan Rüping},
url = {https://arxiv.org/abs/1807.04687},
year = {2018},
date = {2018-01-01},
booktitle = {ECML PKDD Workshops: DMLE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Phong H. Nguyen, Siming Chen, Natalia Andrienko, Michael Kamp, Linara Adilova, Gennady Andrienko, Olivier Thonnard, Alysson Bessani, Cagatay Turkay
Designing visualisation enhancements for SIEM systems Proceedings Article
In: IEEE Symposium on Visualization for Cyber Security (VizSec), 2018.
@inproceedings{AdilovaPaper4_2018,
title = {Designing visualisation enhancements for SIEM systems},
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},
url = {https://ieeexplore.ieee.org/document/8554257},
year = {2018},
date = {2018-01-01},
booktitle = {IEEE Symposium on Visualization for Cyber Security (VizSec)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}