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{Damm2025AnomalyDINOBoosting,
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://openaccess.thecvf.com/content/WACV2025/html/Damm_AnomalyDINO_Boosting_Patch-Based_Few-Shot_Anomaly_Detection_with_DINOv2_WACV_2025_paper.html},
year = {2025},
date = {2025-01-01},
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Andreas Müller, Denis Lukovnikov, Jonas Thietke, Asja Fischer, Erwin Quiring
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models Proceedings Article
In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
@inproceedings{Müller2025Black-BoxForgery,
title = {Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models},
author = {Andreas Müller and Denis Lukovnikov and Jonas Thietke and Asja Fischer and Erwin Quiring},
url = {https://arxiv.org/abs/2412.03283},
year = {2025},
date = {2025-01-01},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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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: International Conference on Learning Representations (ICLR), 2025.
@inproceedings{Heilig2025Port-HamiltonianArchitectural,
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},
booktitle = {International Conference on Learning Representations (ICLR)},
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2024
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 (SP), 2024.
@inproceedings{Frank2024RepresentativeStudy,
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.org/10.1109/SP54263.2024.00159},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
booktitle = {IEEE Symposium on Security and Privacy (SP)},
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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{Laszkiewicz2024Single-ModelAttribution,
title = {Single-Model Attribution of Generative Models Through Final-Layer Inversion},
author = {Mike Laszkiewicz and Jonas Ricker and Johannes Lederer and Asja Fischer},
url = {https://proceedings.mlr.press/v235/laszkiewicz24a.html},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
booktitle = {International Conference on Machine Learning (ICML)},
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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.
@article{Mavali2024FakeIt,
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url = {https://arxiv.org/abs/2410.01574},
year = {2024},
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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{Ricker2024AI-GeneratedFaces,
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},
year = {2024},
date = {2024-01-01},
urldate = {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{Ricker2024TowardsDetection,
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},
year = {2024},
date = {2024-01-01},
booktitle = {International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)},
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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 Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
@inproceedings{Ricker2024AEROBLADETraining-Free,
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},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
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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{Adilova2024InformationPlane,
title = {Information Plane Analysis for Dropout Neural Networks},
author = {Linara Adilova and Bernhard C. Geiger and Asja Fischer},
url = {https://openreview.net/forum?id=bQB6qozaBw},
year = {2024},
date = {2024-01-01},
booktitle = {International Conference on Learning Representations (ICLR)},
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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{Pizarro2024DistriBlockIdentifying,
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},
year = {2024},
date = {2024-01-01},
booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
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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.
@article{Pizarro2024Single-ModelAttribution,
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author = {Matías Pizarro and Mike Laszkiewicz and Dorothea Kolossa and Asja Fischer},
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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{Pizzi2024ReassessingNoise,
title = {Reassessing Noise Augmentation Methods in the Context of Adversarial Speech},
author = {Karla Pizzi and Matías Pizarro and Asja Fischer},
url = {https://doi.org/10.21437/SPSC.2024-5},
year = {2024},
date = {2024-01-01},
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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{Singh2024LandscapingLinear,
title = {Landscaping Linear Mode Connectivity},
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},
date = {2024-01-01},
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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{Sun2024ExploitingInternal,
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},
year = {2024},
date = {2024-01-01},
booktitle = {European Symposium on Research in Computer Security (ESORICS)},
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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{Velychko2024Learningsparse,
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},
year = {2024},
date = {2024-01-01},
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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 (JASN), 2024.
@article{Salazer2024ArtificialIntelligence,
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://doi.org/10.1681/ASN.2024zm5zyd3x},
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{Walter2024UncannyValley,
title = {The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective},
author = {Nils Philipp Walter and Linara Adilova and Jilles Vreeken and Michael Kamp},
url = {https://arxiv.org/abs/2405.16918},
year = {2024},
date = {2024-01-01},
journal = {arXiv Preprint},
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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{Sun2024PSYPosterior,
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},
journal = {arXiv Preprint},
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2023
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{Adilova2023Layer-wiseLinear,
title = {Layer-wise Linear Mode Connectivity},
author = {Linara Adilova and Maksym Andriushchenko and Michael Kamp and Asja Fischer and Martin Jaggi},
url = {https://openreview.net/forum?id=LfmZh91tDI},
year = {2023},
date = {2023-01-01},
booktitle = {International Conference on Learning Representations (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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{Damm2023ELBOof,
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},
year = {2023},
date = {2023-01-01},
booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
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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{Münch2023Staticand,
title = {Static and Adaptive Subspace Information Fusion for Indefinite Heterogeneous Proximity Data},
author = {Maximilian Münch and Manuel Röder and Simon Heilig and Christoph Raab and Frank-Michael Schleif},
url = {https://doi.org/10.1016/j.neucom.2023.126635},
year = {2023},
date = {2023-01-01},
journal = {Neurocomputing},
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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: International Conference on Machine Learning (ICML) Workshops, 2023.
@inproceedings{Adilova2023FAMRelative,
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://proceedings.mlr.press/v221/adilova23a.html},
year = {2023},
date = {2023-01-01},
booktitle = {International Conference on Machine Learning (ICML) Workshops},
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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 Forschungsbericht
BSI 2023.
@techreport{Adilova2023Securityof,
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, Michael Kamp, Gennady Andrienko, Natalia Andrienko
Re-interpreting Rules Interpretability Artikel
In: International Journal of Data Science and Analytics, 2023.
@article{Adilova2023Re-interpretingRules,
title = {Re-interpreting Rules Interpretability},
author = {Linara Adilova and Michael Kamp and Gennady Andrienko and Natalia Andrienko},
url = {https://doi.org/10.1007/s41060-023-00398-5},
year = {2023},
date = {2023-01-01},
journal = {International Journal of Data Science and Analytics},
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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 Forschungsbericht
Fraunhofer IAIS 2023.
@techreport{Poretschkin2023Guidelinefor,
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{Dai2023ForceHighly,
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{Heilig2022MemoryEfficient,
title = {Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels},
author = {Simon Heilig and Maximilian Münch and Frank-Michael Schleif},
url = {https://doi.org/10.1109/IJCNN55064.2022.9892153},
year = {2022},
date = {2022-01-01},
booktitle = {International Joint Conference on Neural Networks (IJCNN)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Yulian Sun
Federated Transfer Learning with Multimodal Data Abschlussarbeit
Technical University of Darmstadt, 2022.
@mastersthesis{Sun2022FederatedTransfer,
title = {Federated Transfer Learning with Multimodal Data},
author = {Yulian Sun},
url = {https://arxiv.org/abs/2209.03137},
year = {2022},
date = {2022-01-01},
school = {Technical University of Darmstadt},
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2021
Florian Linsner, Linara Adilova, Sina Däubener, Michael Kamp, Asja Fischer
Approaches to Uncertainty Quantification in Federated Deep Learning Proceedings Article
In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Workshops, 2021.
@inproceedings{Linsner2021Approachesto,
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://doi.org/10.1007/978-3-030-93736-2_12},
year = {2021},
date = {2021-01-01},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Workshops},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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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{Pizarro2021RobustifyingAutomatic,
title = {Robustifying Automatic Speech Recognition by Extracting Slowly Varying Features},
author = {Matías Pizarro and Dorothea Kolossa and Asja Fischer},
url = {https://doi.org/10.21437/SPSC.2021-8},
year = {2021},
date = {2021-01-01},
booktitle = {Symposium on Security and Privacy in Speech Communication (SPSC)},
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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{Adilova2021NoveltyDetection,
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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2020
Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz
Leveraging Frequency Analysis for Deep Fake Image Recognition Proceedings Article
In: International Conference on Machine Learning (ICML), 2020.
@inproceedings{Frank2020LeveragingFrequency,
title = {Leveraging Frequency Analysis for Deep Fake Image Recognition},
author = {Joel Frank and Thorsten Eisenhofer and Lea Schönherr and Asja Fischer and Dorothea Kolossa and Thorsten Holz},
url = {https://proceedings.mlr.press/v119/frank20a.html},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
Linara Adilova, Nathalie Paul, Peter Schlicht
Introducing Noise in Decentralized Training of Neural Networks Proceedings Article
In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2019.
@inproceedings{Adilova2019IntroducingNoise,
title = {Introducing Noise in Decentralized Training of Neural Networks},
author = {Linara Adilova and Nathalie Paul and Peter Schlicht},
url = {https://doi.org/10.1007/978-3-030-14880-5_4},
year = {2019},
date = {2019-01-01},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Linara Adilova, Julia Rosenzweig, Michael Kamp
Information-Theoretic Perspective of Federated Learning Proceedings Article
In: Advances in Neural Information Processing Systems (NeurIPS) Workshops, 2019.
@inproceedings{Adilova2019Information-TheoreticPerspective,
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 = {Advances in Neural Information Processing Systems (NeurIPS) Workshops},
keywords = {},
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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 (TVCG), 2019.
@article{Chen2019LDAEnsembles,
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://doi.org/10.1109/TVCG.2019.2904069},
year = {2019},
date = {2019-01-01},
journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)},
keywords = {},
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}
2018
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: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Workshops, 2018.
@inproceedings{Kamp2018EfficientDecentralized,
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://doi.org/10.1007/978-3-030-10925-7_24},
year = {2018},
date = {2018-01-01},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Workshops},
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{Nguyen2018DesigningVisualisation,
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://vizsec.org/files/2018/Nguyen_Poster_Designing%20Visualisation%20Enhancements.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {IEEE Symposium on Visualization for Cyber Security (VizSec)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2017
Linara Adilova, Sven Giesselbach, Stefan Rüping
Making Efficient Use of a Domain Expert's Time in Relation Extraction Proceedings Article
In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2017.
@inproceedings{Adilova2017MakingEfficient,
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 = {2017},
date = {2017-01-01},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}