Jan Dubinski

According to our database, Jan Dubinski authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models.

Michel Meintz, Jan Dubinski, Franziska Boenisch, Adam Dziedzic

CoRR, June, 2025

Maybe I Should Not Answer That, but... Do LLMs Understand The Safety of Their Inputs?

Maciej Chrabaszcz, Filip Szatkowski, Bartosz Wójcik, Jan Dubinski, Tomasz Trzcinski

CoRR, February, 2025

Privacy Attacks on Image AutoRegressive Models.

Antoni Kowalczuk, Jan Dubinski, Franziska Boenisch, Adam Dziedzic

CoRR, February, 2025

Learning Graph Representation of Agent Diffusers.

Youcef Djenouri, Nassim Belmecheri, Tomasz P. Michalak, Jan Dubinski, Ahmed Nabil Belbachir, Anis Yazidi

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

CDI: Copyrighted Data Identification in Diffusion Models.

Jan Dubinski, Antoni Kowalczuk, Franziska Boenisch, Adam Dziedzic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation.

Joanna Kaleta, Pawel Skiers, Jan Dubinski, Przemyslaw Korzeniowski, Kamil Deja

CoRR, 2024

Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks.

Antoni Kowalczuk, Jan Dubinski, Atiyeh Ashari Ghomi, Yi Sui, George Stein, Jiapeng Wu, Jesse C. Cresswell, Franziska Boenisch, Adam Dziedzic

CoRR, 2024

Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN.

Patryk Bedkowski, Jan Dubinski, Kamil Deja, Przemyslaw Rokita

CoRR, 2024

Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN.

Mikolaj Kita, Jan Dubinski, Przemyslaw Rokita, Kamil Deja

CoRR, 2024

Particle physics DL-simulation with control over generated data properties.

Karol Rogozinski, Jan Dubinski, Przemyslaw Rokita, Kamil Deja

CoRR, 2024

Towards More Realistic Membership Inference Attacks on Large Diffusion Models.

Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks.

Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN.

Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski

CoRR, 2023

Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders.

Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Progressive Latent Replay for Efficient Generative Rehearsal.

Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Selectively Increasing the Diversity of GAN-Generated Samples.

Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

End-to-End Sinkhorn Autoencoder With Noise Generator.

Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemyslaw Spurek, Tomasz Trzcinski

IEEE Access, 2021

2020

End-to-end Sinkhorn Autoencoder with Noise Generator.

Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Tomasz Trzcinski

CoRR, 2020