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2020 – today
- 2025
[j2]Joanna Kaleta, Pawel Skiers, Jan Dubinski, Przemyslaw Korzeniowski, Tomasz Trzcinski, Jakub M. Tomczak, Kamil Deja:
JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare. Comput. Medical Imaging Graph. 124: 102619 (2025)- [c7]Jan Dubinski, Antoni Kowalczuk, Franziska Boenisch, Adam Dziedzic:
CDI: Copyrighted Data Identification in Diffusion Models. CVPR 2025: 18674-18684 - [c6]Youcef Djenouri, Nassim Belmecheri, Tomasz P. Michalak, Jan Dubinski, Ahmed Nabil Belbachir, Anis Yazidi:
Learning Graph Representation of Agent Diffusers. AAMAS 2025: 620-629 - [i20]Antoni Kowalczuk, Jan Dubinski, Franziska Boenisch, Adam Dziedzic:
Privacy Attacks on Image AutoRegressive Models. CoRR abs/2502.02514 (2025) - [i19]Maciej Chrabaszcz, Filip Szatkowski, Bartosz Wójcik, Jan Dubinski, Tomasz Trzcinski:
Maybe I Should Not Answer That, but... Do LLMs Understand The Safety of Their Inputs? CoRR abs/2502.16174 (2025) - [i18]Youcef Djenouri, Nassim Belmecheri, Tomasz P. Michalak, Jan Dubinski, Ahmed Nabil Belbachir, Anis Yazidi:
Learning Graph Representation of Agent Diffusers. CoRR abs/2505.06761 (2025) - [i17]Michel Meintz, Jan Dubinski, Franziska Boenisch, Adam Dziedzic:
Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models. CoRR abs/2506.23731 (2025) - [i16]Patryk Bedkowski, Jan Dubinski, Filip Szatkowski, Kamil Deja, Przemyslaw Rokita, Tomasz Trzcinski:
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts. CoRR abs/2508.20991 (2025) - [i15]Filip Szatkowski, Patryk Bedkowski, Alessio Devoto, Jan Dubinski, Pasquale Minervini, Mikolaj Piórczynski, Simone Scardapane, Bartosz Wójcik:
Universal Properties of Activation Sparsity in Modern Large Language Models. CoRR abs/2509.00454 (2025) - [i14]Stanislaw Pawlak, Jan Dubinski, Daniel Marczak, Bartlomiej Twardowski:
Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses. CoRR abs/2510.08016 (2025) - 2024
- [c5]Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak:
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks. ECAI 2024: 1438-1445 - [c4]Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki:
Towards More Realistic Membership Inference Attacks on Large Diffusion Models. WACV 2024: 4848-4857 - [i13]Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak:
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks. CoRR abs/2405.12295 (2024) - [i12]Karol Rogozinski, Jan Dubinski, Przemyslaw Rokita, Kamil Deja
:
Particle physics DL-simulation with control over generated data properties. CoRR abs/2405.14049 (2024) - [i11]Mikolaj Kita, Jan Dubinski, Przemyslaw Rokita, Kamil Deja:
Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN. CoRR abs/2406.03233 (2024) - [i10]Patryk Bedkowski, Jan Dubinski, Kamil Deja, Przemyslaw Rokita:
Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN. CoRR abs/2406.03263 (2024) - [i9]Antoni Kowalczuk, Jan Dubinski, Atiyeh Ashari Ghomi, Yi Sui, George Stein, Jiapeng Wu, Jesse C. Cresswell, Franziska Boenisch, Adam Dziedzic:
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks. CoRR abs/2407.12588 (2024) - [i8]Joanna Kaleta, Pawel Skiers, Jan Dubinski, Przemyslaw Korzeniowski, Kamil Deja:
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation. CoRR abs/2411.09434 (2024) - [i7]Jan Dubinski, Antoni Kowalczuk, Franziska Boenisch, Adam Dziedzic:
CDI: Copyrighted Data Identification in Diffusion Models. CoRR abs/2411.12858 (2024) - 2023
- [c3]Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic:
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders. NeurIPS 2023 - [i6]Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki:
Towards More Realistic Membership Inference Attacks on Large Diffusion Models. CoRR abs/2306.12983 (2023) - [i5]Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski:
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN. CoRR abs/2306.13606 (2023) - [i4]Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic:
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders. CoRR abs/2310.08571 (2023) - 2022
- [c2]Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski:
Selectively Increasing the Diversity of GAN-Generated Samples. ICONIP (1) 2022: 260-270 - [c1]Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski:
Progressive Latent Replay for Efficient Generative Rehearsal. ICONIP (4) 2022: 457-467 - [i3]Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski:
Selectively increasing the diversity of GAN-generated samples. CoRR abs/2207.01561 (2022) - [i2]Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski:
Progressive Latent Replay for efficient Generative Rehearsal. CoRR abs/2207.01562 (2022) - 2021
- [j1]Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemyslaw Spurek, Tomasz Trzcinski:
End-to-End Sinkhorn Autoencoder With Noise Generator. IEEE Access 9: 7211-7219 (2021) - 2020
- [i1]Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Tomasz Trzcinski:
End-to-end Sinkhorn Autoencoder with Noise Generator. CoRR abs/2006.06704 (2020)
Coauthor Index
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