Ruhr-University Bochum
Faculty of Computer Science
Machine Learning
Universitätsstr. 150
44801 Bochum
Room: MC 5.124
Tel: +49 (0)234 32-23207
E-Mail: asja.fischer@rub.de
Office hours: By Arrangement
Table of Contents
About Me
Before becoming a professor in Bochum I was an assistant professor at RUB, Akademische Rätin (assistant professor) at Bonn University, and a post-doctoral researcher at the Montreal Institute for Learning Algorithms (MILA). Between 2010 and 2015, I was employed both at the Institute for Neural Computation at the Ruhr-University Bochum and the Department of Computer Science at the University of Copenhagen working on my PhD, which I defended in Copenhagen in 2014. Before, I studied Biology, Bioinformatics, Mathematics and Cognitive Science at the Ruhr-University Bochum, the Universidade de Lisboa, and the University of Osnabrück.
Publications
2026
Simon Damm, Jonas Ricker, Henning Petzka, Asja Fischer
PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images Proceedings Article
In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026.
@inproceedings{Damm2026PRADAProbability-Ratio-Based,
title = {PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images},
author = {Simon Damm and Jonas Ricker and Henning Petzka and Asja Fischer},
url = {https://openaccess.thecvf.com/content/CVPR2026F/html/Damm_PRADA_Probability-Ratio-Based_Attribution_and_Detection_of_Autoregressive-Generated_Images_CVPRF_2026_paper.html},
year = {2026},
date = {2026-01-01},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings},
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pubstate = {published},
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}
Sandra Höltervennhoff, Jonas Ricker, Maike M. Raphael, Charlotte Schwedes, Rebecca Weil, Asja Fischer, Thorsten Holz, Lea Schönherr, Sascha Fahl
"That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation Proceedings Article
In: CHI Conference on Human Factors in Computing Systems (CHI), 2026.
@inproceedings{Höltervennhoff2026Thatsanother,
title = {"That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation},
author = {Sandra Höltervennhoff and Jonas Ricker and Maike M. Raphael and Charlotte Schwedes and Rebecca Weil and Asja Fischer and Thorsten Holz and Lea Schönherr and Sascha Fahl},
url = {https://doi.org/10.1145/3772318.3791006},
year = {2026},
date = {2026-01-01},
booktitle = {CHI Conference on Human Factors in Computing Systems (CHI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Denis Lukovnikov, Andreas Müller, Erwin Quiring, Asja Fischer
ClusterMark: Towards Robust Watermarking for Autoregressive Image Generators with Visual Token Clustering Proceedings Article
In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
@inproceedings{Lukovnikov2026ClusterMarkTowards,
title = {ClusterMark: Towards Robust Watermarking for Autoregressive Image Generators with Visual Token Clustering},
author = {Denis Lukovnikov and Andreas Müller and Erwin Quiring and Asja Fischer},
url = {https://openaccess.thecvf.com/content/CVPR2026/html/Lukovnikov_ClusterMark_Towards_Robust_Watermarking_for_Autoregressive_Image_Generators_with_Visual_CVPR_2026_paper.html},
year = {2026},
date = {2026-01-01},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sina Mavali, Jonas Ricker, David Pape, Asja Fischer, Lea Schönherr
Adversarial Robustness of AI-Generated Image Detectors in the Real World Artikel
In: International Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA), 2026.
@article{Mavali2026AdversarialRobustness,
title = {Adversarial Robustness of AI-Generated Image Detectors in the Real World},
author = {Sina Mavali and Jonas Ricker and David Pape and Asja Fischer and Lea Schönherr},
url = {https://arxiv.org/abs/2410.01574},
year = {2026},
date = {2026-01-01},
journal = {International Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA)},
keywords = {},
pubstate = {published},
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Karla Pizzi, Matías Pizarro, Asja Fischer
In: Computer Speech & Language, 2026.
@article{Pizzi2026ComparativeStudy,
title = {Comparative Study on Noise-Augmented Training and its Effect on Adversarial Robustness in ASR Systems},
author = {Karla Pizzi and Matías Pizarro and Asja Fischer},
url = {https://doi.org/10.1016/j.csl.2025.101869},
year = {2026},
date = {2026-01-01},
journal = {Computer Speech & Language},
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pubstate = {published},
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2025
Simon Damm, Asja Fischer, Alexander May, Soundes Marzougui, Leander Schwarz, Henning Seidler, Jean-Pierre Seifert, Jonas Thietke, Vincent Quentin Ulitzsch
Solving Concealed ILWE and its Application for Breaking Masked Dilithium Proceedings Article
In: Advances in Cryptology (ASIACRYPT 25), 2025.
@inproceedings{nokey,
title = {Solving Concealed ILWE and its Application for Breaking Masked Dilithium},
author = {Simon Damm and Asja Fischer and Alexander May and Soundes Marzougui and Leander Schwarz and Henning Seidler and Jean-Pierre Seifert and Jonas Thietke and Vincent Quentin Ulitzsch},
url = {https://eprint.iacr.org/2025/1629.pdf, Paper},
year = {2025},
date = {2025-12-01},
urldate = {2025-12-01},
booktitle = {Advances in Cryptology (ASIACRYPT 25)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Simon Damm, Asja Fischer, Alexander May, Soundes Marzougui, Leander Schwarz, Henning Seidler, Jean-Pierre Seifert, Jonas Thietke, Vincent Quentin Ulitzsch
Solving Concealed ILWE and Its Application for Breaking Masked Dilithium Proceedings Article
In: International Conference on the Theory and Application of Cryptology and Information Security (ASIACRYPT), 2025.
@inproceedings{Damm2025SolvingConcealed,
title = {Solving Concealed ILWE and Its Application for Breaking Masked Dilithium},
author = {Simon Damm and Asja Fischer and Alexander May and Soundes Marzougui and Leander Schwarz and Henning Seidler and Jean-Pierre Seifert and Jonas Thietke and Vincent Quentin Ulitzsch},
url = {https://doi.org/10.1007/978-981-95-5096-8_19},
year = {2025},
date = {2025-01-01},
booktitle = {International Conference on the Theory and Application of Cryptology and Information Security (ASIACRYPT)},
keywords = {},
pubstate = {published},
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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},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
keywords = {},
pubstate = {published},
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Zahra Dehghanighobadi, Asja Fischer, Muhammad Bilal Zafar
Can LLMs Explain Themselves Counterfactually? Proceedings Article
In: Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
@inproceedings{Dehghanighobadi2025CanLLMs,
title = {Can LLMs Explain Themselves Counterfactually?},
author = {Zahra Dehghanighobadi and Asja Fischer and Muhammad Bilal Zafar},
url = {https://doi.org/10.18653/v1/2025.emnlp-main.396},
year = {2025},
date = {2025-01-01},
booktitle = {Conference on Empirical Methods in Natural Language Processing (EMNLP)},
keywords = {},
pubstate = {published},
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Sina Däubener, Simon Damm, Asja Fischer
ELBO, Regularized Maximum Likelihood, and Their Common One-Sample Approximation for Training Stochastic Neural Networks Proceedings Article
In: Conference on Uncertainty in Artificial Intelligence (UAI), 2025.
@inproceedings{Däubener2025ELBORegularized,
title = {ELBO, Regularized Maximum Likelihood, and Their Common One-Sample Approximation for Training Stochastic Neural Networks},
author = {Sina Däubener and Simon Damm and Asja Fischer},
url = {https://openreview.net/forum?id=j4yFTNrdrO},
year = {2025},
date = {2025-01-01},
booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
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Hicham Eddoubi, Jonas Ricker, Federico Cocchi, Lorenzo Baraldi, Angelo Sotgiu, Maura Pintor, Marcella Cornia, Lorenzo Baraldi, Asja Fischer, Rita Cucchiara, Battista Biggio
RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors Artikel
In: arXiv Preprint, 2025.
@article{Eddoubi2025RAIDDataset,
title = {RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors},
author = {Hicham Eddoubi and Jonas Ricker and Federico Cocchi and Lorenzo Baraldi and Angelo Sotgiu and Maura Pintor and Marcella Cornia and Lorenzo Baraldi and Asja Fischer and Rita Cucchiara and Battista Biggio},
url = {https://arxiv.org/abs/2506.03988},
year = {2025},
date = {2025-01-01},
journal = {arXiv Preprint},
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Florian Lam, Simon Damm, Asja Fischer, Thomas Heinze
Exploring the Potential and Limitations of Machine Learning for Forecasting Groundwater Recharge from Meteorological Time Series Proceedings Article
In: AGU Annual Meeting, 2025.
@inproceedings{Lam2025ExploringPotential,
title = {Exploring the Potential and Limitations of Machine Learning for Forecasting Groundwater Recharge from Meteorological Time Series},
author = {Florian Lam and Simon Damm and Asja Fischer and Thomas Heinze},
url = {https://agu.confex.com/agu/agu25/meetingapp.cgi/Paper/1900224},
year = {2025},
date = {2025-01-01},
booktitle = {AGU Annual Meeting},
keywords = {},
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Denis Lukovnikov, Asja Fischer
Enabling ControlNet to follow Localized Descriptions Using Cross-Attention Control Proceedings Article
In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2025.
@inproceedings{Lukovnikov2025EnablingControlNet,
title = {Enabling ControlNet to follow Localized Descriptions Using Cross-Attention Control},
author = {Denis Lukovnikov and Asja Fischer},
url = {https://doi.org/10.1007/978-3-032-05981-9_19},
year = {2025},
date = {2025-01-01},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Denis Lukovnikov, Andreas Müller, Jonas Thietke, Erwin Quiring, Asja Fischer
Are Semantic Watermarks for Diffusion Models Resilient to Layout Control? Proceedings Article
In: International Conference on Learning Representations (ICLR) Workshops, 2025.
@inproceedings{Lukovnikov2025AreSemantic,
title = {Are Semantic Watermarks for Diffusion Models Resilient to Layout Control?},
author = {Denis Lukovnikov and Andreas Müller and Jonas Thietke and Erwin Quiring and Asja Fischer},
url = {https://openreview.net/forum?id=pFMNK403AH},
year = {2025},
date = {2025-01-01},
booktitle = {International Conference on Learning Representations (ICLR) Workshops},
keywords = {},
pubstate = {published},
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Laura Manduchi, Clara Meister, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van Broeck, Julia E Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin
On the Challenges and Opportunities in Generative AI Artikel
In: arXiv Preprint, 2025.
@article{Manduchi2025OnChallenges,
title = {On the Challenges and Opportunities in Generative AI},
author = {Laura Manduchi and Clara Meister and Kushagra Pandey and Robert Bamler and Ryan Cotterell and Sina Däubener and Sophie Fellenz and Asja Fischer and Thomas Gärtner and Matthias Kirchler and Marius Kloft and Yingzhen Li and Christoph Lippert and Gerard Melo and Eric Nalisnick and Björn Ommer and Rajesh Ranganath and Maja Rudolph and Karen Ullrich and Guy Van Broeck and Julia E Vogt and Yixin Wang and Florian Wenzel and Frank Wood and Stephan Mandt and Vincent Fortuin},
url = {https://doi.org/10.48550/arXiv.2403.00025},
year = {2025},
date = {2025-01-01},
journal = {arXiv Preprint},
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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://doi.org/10.1109/CVPR52734.2025.01950},
year = {2025},
date = {2025-01-01},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Matías Pizarro, Mike Laszkiewicz, Dorothea Kolossa, Asja Fischer
Lightweight Model Attribution and Detection of Synthetic Speech via Audio Residual Fingerprints Artikel
In: arXiv Preprint, 2025.
@article{Pizarro2025LightweightModel,
title = {Lightweight Model Attribution and Detection of Synthetic Speech via Audio Residual Fingerprints},
author = {Matías Pizarro and Mike Laszkiewicz and Dorothea Kolossa and Asja Fischer},
url = {https://doi.org/10.48550/arXiv.2411.14013},
year = {2025},
date = {2025-01-01},
journal = {arXiv Preprint},
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Jens Püttschneider, Simon Heilig, Asja Fischer, Timm Faulwasser
Towards the Optimal Control Perspective of ResNet Training Proceedings Article
In: International Conference on Machine Learning (ICML) Workshops, 2025.
@inproceedings{Puttschneider2025TowardsOptimal,
title = {Towards the Optimal Control Perspective of ResNet Training},
author = {Jens Püttschneider and Simon Heilig and Asja Fischer and Timm Faulwasser},
url = {https://openreview.net/forum?id=xMXpVetlhj},
year = {2025},
date = {2025-01-01},
booktitle = {International Conference on Machine Learning (ICML) Workshops},
keywords = {},
pubstate = {published},
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Jonas Thietke, Andreas Müller, Denis Lukovnikov, Asja Fischer, Erwin Quiring
Towards a Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models Proceedings Article
In: International Conference on Learning Representations (ICLR) Workshops, 2025.
@inproceedings{Thietke2025TowardsCorrect,
title = {Towards a Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models},
author = {Jonas Thietke and Andreas Müller and Denis Lukovnikov and Asja Fischer and Erwin Quiring},
url = {https://openreview.net/forum?id=yENK6DYuXv},
year = {2025},
date = {2025-01-01},
booktitle = {International Conference on Learning Representations (ICLR) Workshops},
keywords = {},
pubstate = {published},
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2024
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)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sina Mavali, Jonas Ricker, David Pape, Asja Fischer, Lea Schönherr
Adversarial Robustness of AI-Generated Image Detectors in the Real World Artikel
In: arXiv Preprint, 2024.
@article{Mavali2024AdversarialRobustness,
title = {Adversarial Robustness of AI-Generated Image Detectors in the Real World},
author = {Sina Mavali and Jonas Ricker and David Pape and Asja Fischer and Lea Schönherr},
url = {https://arxiv.org/abs/2410.01574},
year = {2024},
date = {2024-01-01},
journal = {arXiv Preprint},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Sina Däubener, Kira Maag, David Krueger, Asja Fischer
Integrating uncertainty quantification into randomized smoothing based robustness guarantees Artikel
In: arXiv Preprint, 2024.
@article{Däubener2024Integratinguncertainty,
title = {Integrating uncertainty quantification into randomized smoothing based robustness guarantees},
author = {Sina Däubener and Kira Maag and David Krueger and Asja Fischer},
url = {https://doi.org/10.48550/arXiv.2410.20432},
year = {2024},
date = {2024-01-01},
journal = {arXiv Preprint},
keywords = {},
pubstate = {published},
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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 (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)},
keywords = {},
pubstate = {published},
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Mike Laszkiewicz, Imant Daunhawer, Julia E. Vogt, Asja Fischer, Johannes Lederer
Benchmarking the Fairness of Image Upsampling Methods Proceedings Article
In: ACM Conference on Fairness, Accountability, and Transparency (FaccT), 2024.
@inproceedings{Laszkiewicz2024BenchmarkingFairness,
title = {Benchmarking the Fairness of Image Upsampling Methods},
author = {Mike Laszkiewicz and Imant Daunhawer and Julia E. Vogt and Asja Fischer and Johannes Lederer},
url = {https://doi.org/10.1145/3630106.3658921},
year = {2024},
date = {2024-01-01},
booktitle = {ACM Conference on Fairness, Accountability, and Transparency (FaccT)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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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)},
keywords = {},
pubstate = {published},
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Kira Maag, Asja Fischer
Uncertainty-Weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Proceedings Article
In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
@inproceedings{Maag2024Uncertainty-WeightedLoss,
title = {Uncertainty-Weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation},
author = {Kira Maag and Asja Fischer},
url = {https://doi.org/10.1109/WACV57701.2024.00386},
year = {2024},
date = {2024-01-01},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
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Kira Maag, Asja Fischer
Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation Proceedings Article
In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 2024.
@inproceedings{Maag2024Uncertainty-BasedDetection,
title = {Uncertainty-Based Detection of Adversarial Attacks in Semantic Segmentation},
author = {Kira Maag and Asja Fischer},
url = {https://doi.org/10.5220/0012303500003660},
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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Kira Maag, Roman Resner, Asja Fischer
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis Proceedings Article
In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 2024.
@inproceedings{Maag2024DetectingAdversarial,
title = {Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis},
author = {Kira Maag and Roman Resner and Asja Fischer},
url = {https://doi.org/10.1007/978-3-032-07623-6_11},
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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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},
urldate = {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,
title = {Single-Model Attribution for Spoofed Speech via Vocoder Fingerprints in an Open-World Setting},
author = {Matías Pizarro and Mike Laszkiewicz and Dorothea Kolossa and Asja Fischer},
url = {https://arxiv.org/abs/2411.14013},
year = {2024},
date = {2024-01-01},
journal = {arXiv Preprint},
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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},
booktitle = {Symposium on Security and Privacy in Speech Communication (SPSC)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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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},
booktitle = {International Symposium on Research in Attacks, Intrusions and Defenses (RAID)},
keywords = {},
pubstate = {published},
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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)},
keywords = {},
pubstate = {published},
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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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Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer
Wasserstein dropout Artikel
In: Machine Learning, 2024.
@article{Sicking2024Wassersteindropout,
title = {Wasserstein dropout},
author = {Joachim Sicking and Maram Akila and Maximilian Pintz and Tim Wirtz and Stefan Wrobel and Asja Fischer},
url = {https://doi.org/10.1007/s10994-022-06230-8},
year = {2024},
date = {2024-01-01},
journal = {Machine Learning},
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Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann
Landscaping Linear Mode Connectivity Artikel
In: International Conference on Machine Learning (ICML) Workshops, 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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Jan Warnken, Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke
Generative Models with ELBOs Converging to Entropy Sums Artikel
In: arXiv Preprint, 2024.
@article{Warnken2024GenerativeModels,
title = {Generative Models with ELBOs Converging to Entropy Sums},
author = {Jan Warnken and Dmytro Velychko and Simon Damm and Asja Fischer and Jörg Lücke},
url = {https://doi.org/10.48550/arXiv.2501.09022},
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}
}
Linara Adilova, Bernhard C. Geiger, Asja Fischer
Information Plane Analysis for Dropout Neural Networks Proceedings Article
In: International Conference on Learning Representations (ICLR), 2023.
@inproceedings{Adilova2023InformationPlane,
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 = {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)},
keywords = {},
pubstate = {published},
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Mike Laszkiewicz, Denis Lukovnikov, Johannes Lederer, Asja Fischer
Set-Membership Inference Attacks using Data Watermarking Artikel
In: arXiv Preprint, 2023.
@article{Laszkiewicz2023Set-MembershipInference,
title = {Set-Membership Inference Attacks using Data Watermarking},
author = {Mike Laszkiewicz and Denis Lukovnikov and Johannes Lederer and Asja Fischer},
url = {https://doi.org/10.48550/arXiv.2307.15067},
year = {2023},
date = {2023-01-01},
journal = {arXiv Preprint},
keywords = {},
pubstate = {published},
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}
2022
Sina Däubener, Asja Fischer
How Sampling Impacts the Robustness of Stochastic Neural Networks Proceedings Article
In: Advances in Neural Information Processing Systems (NeurIPS), 2022.
@inproceedings{Däubener2022HowSampling,
title = {How Sampling Impacts the Robustness of Stochastic Neural Networks},
author = {Sina Däubener and Asja Fischer},
url = {https://proceedings.neurips.cc/paper_files/paper/2022/hash/429d69979c22b06d6baa65caf3ab1e10-Abstract-Conference.html},
year = {2022},
date = {2022-01-01},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Mike Laszkiewicz, Johannes Lederer, Asja Fischer
Marginal Tail-Adaptive Normalizing Flows Proceedings Article
In: International Conference on Machine Learning (ICML), 2022.
@inproceedings{Laszkiewicz2022MarginalTail-Adaptive,
title = {Marginal Tail-Adaptive Normalizing Flows},
author = {Mike Laszkiewicz and Johannes Lederer and Asja Fischer},
url = {https://proceedings.mlr.press/v162/laszkiewicz22a.html},
year = {2022},
date = {2022-01-01},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2021
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
@article{Ali2021BringingLight,
title = {Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework},
author = {Mehdi Ali and Max Berrendorf and Charles Tapley Hoyt and Laurent Vermue and Mikhail Galkin and Sahand Sharifzadeh and Asja Fischer and Volker Tresp and Jens Lehmann},
url = {https://doi.org/10.1109/TPAMI.2021.3124805},
year = {2021},
date = {2021-01-01},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Kai Brügge, Asja Fischer, Christian Igel
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions Proceedings Article
In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.
@inproceedings{Brugge2021Onconvergence,
title = {On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions},
author = {Kai Brügge and Asja Fischer and Christian Igel},
url = {https://proceedings.mlr.press/v130/brugge21a.html},
year = {2021},
date = {2021-01-01},
booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
keywords = {},
pubstate = {published},
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Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, Asja Fischer
Introduction to Neural Network-Based Question Answering over Knowledge Graphs Artikel
In: WIREs Data Mining and Knowledge Discovery, 2021.
@article{Chakraborty2021Introductionto,
title = {Introduction to Neural Network-Based Question Answering over Knowledge Graphs},
author = {Nilesh Chakraborty and Denis Lukovnikov and Gaurav Maheshwari and Priyansh Trivedi and Jens Lehmann and Asja Fischer},
url = {https://doi.org/10.1002/widm.1389},
year = {2021},
date = {2021-01-01},
journal = {WIREs Data Mining and Knowledge Discovery},
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Diego Esteves, José Marcelino, Piyush Chawla, Asja Fischer, Jens Lehmann
HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data Proceedings Article
In: Advances in Intelligent Data Analysis (IDA), 2021.
@inproceedings{Esteves2021HORUS-NERMultimodal,
title = {HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data},
author = {Diego Esteves and José Marcelino and Piyush Chawla and Asja Fischer and Jens Lehmann},
url = {https://doi.org/10.1007/978-3-030-74251-5_8},
year = {2021},
date = {2021-01-01},
booktitle = {Advances in Intelligent Data Analysis (IDA)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Mike Laszkiewicz, Asja Fischer, Johannes Lederer
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery Proceedings Article
In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.
@inproceedings{Laszkiewicz2021ThresholdedAdaptive,
title = {Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery},
author = {Mike Laszkiewicz and Asja Fischer and Johannes Lederer},
url = {https://proceedings.mlr.press/v130/laszkiewicz21a.html},
year = {2021},
date = {2021-01-01},
booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
keywords = {},
pubstate = {published},
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}