Dr. Denis Lukovnikov

Postdoc

MC 5.129
denis.lukovnikov@rub.de

Publications

2025

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.

Links

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.

Links

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.

Links

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.

Links

2024

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.

Links

2023

Mike Laszkiewicz, Denis Lukovnikov, Johannes Lederer, Asja Fischer

Set-Membership Inference Attacks using Data Watermarking Artikel

In: arXiv Preprint, 2023.

Links

2021

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.

Links

Denis Lukovnikov, Sina Daubener, Asja Fischer

Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing Proceedings Article

In: Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

Links

Denis Lukovnikov, Asja Fischer

Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies. Proceedings Article

In: International Conference on Machine Learning (ICML), 2021.

Links

Denis Lukovnikov, Asja Fischer

Insertion-based Tree Decoding Proceedings Article

In: Findings of the Association for Computational Linguistics (ACL-IJCNLP), 2021.

Links