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.
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url = {https://arxiv.org/abs/2511.20068},
year = {2026},
date = {2026-01-01},
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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://arxiv.org/abs/2505.22845},
year = {2026},
date = {2026-01-01},
booktitle = {CHI Conference on Human Factors in Computing Systems (CHI)},
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Karla Pizzi, Matías Pizarro, Asja Fischer
In: Computer Speech & Language, 2026.
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year = {2026},
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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,
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url = {https://eprint.iacr.org/2025/1629.pdf, Paper},
year = {2025},
date = {2025-12-01},
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Simon Damm, Nicolai Kraus, Alexander May, Julian Nowakowski, Jonas Thietke
One Bit to Rule Them All - Imperfect Randomness Harms Lattice Signatures Proceedings Article
In: Public Key Cryptography (PKC '25), 2025.
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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.
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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.
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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.
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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,
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url = {https://doi.org/10.18653/v1/2025.emnlp-main.396},
year = {2025},
date = {2025-01-01},
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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,
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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,
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year = {2025},
date = {2025-01-01},
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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},
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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?},
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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.
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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},
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date = {2025-01-01},
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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.
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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},
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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},
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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},
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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},
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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},
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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.
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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,
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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},
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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},
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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},
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year = {2024},
date = {2024-01-01},
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Sina Däubener, Kira Maag, David Krueger, Asja Fischer
Integrating uncertainty quantification into randomized smoothing based robustness guarantees Artikel
In: arXiv Preprint, 2024.
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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},
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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},
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url = {https://doi.org/10.1109/WACV57701.2024.00386},
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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,
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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},
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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},
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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{Pizzi2024ReassessingNoise,
title = {Reassessing Noise Augmentation Methods in the Context of Adversarial Speech},
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url = {https://doi.org/10.21437/SPSC.2024-5},
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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},
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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},
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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{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},
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year = {2024},
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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},
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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.
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author = {Jan Warnken and Dmytro Velychko and Simon Damm and Asja Fischer and Jörg Lücke},
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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.
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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.
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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},
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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.
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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
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},
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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},
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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},
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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},
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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},
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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},
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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},
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