Jan Dubinski

35 papers A* 4A 4Journal 25Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conditioned Activation Transport for T2I Safety Steering.
CoRR
Maciej Chrabaszcz, Aleksander Szymczyk, Jan Dubinski, Tomasz Trzcinski, Franziska Boenisch, Adam Dziedzic
2026 A* conf
On Stealing Graph Neural Network Models.
AAAI
Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Pawel Michalak
2025 J jnl
Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses.
CoRR
Stanislaw Pawlak, Jan Dubinski, Daniel Marczak, Bartlomiej Twardowski
2025 A* conf
CDI: Copyrighted Data Identification in Diffusion Models.
CVPR
Jan Dubinski, Antoni Kowalczuk, Franziska Boenisch, Adam Dziedzic
2025 A conf
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts.
ECAI
Patryk Bedkowski, Jan Dubinski, Filip Szatkowski, Kamil Deja, Przemyslaw Rokita, Tomasz Trzcinski
2025 J jnl
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts.
CoRR
Patryk Bedkowski, Jan Dubinski, Filip Szatkowski, Kamil Deja, Przemyslaw Rokita, Tomasz Trzcinski
2025 J jnl
JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare.
Comput. Medical Imaging Graph.
Joanna Kaleta, Pawel Skiers, Jan Dubinski, Przemyslaw Korzeniowski, Tomasz Trzcinski, Jakub M. Tomczak, Kamil Deja
2025 A conf
Learning Graph Representation of Agent Diffusers.
AAMAS
Youcef Djenouri, Nassim Belmecheri, Tomasz P. Michalak, Jan Dubinski, Ahmed Nabil Belbachir, Anis Yazidi
2025 J jnl
Learning Graph Representation of Agent Diffusers.
CoRR
Youcef Djenouri, Nassim Belmecheri, Tomasz P. Michalak, Jan Dubinski, Ahmed Nabil Belbachir, Anis Yazidi
2025 J jnl
Maybe I Should Not Answer That, but... Do LLMs Understand The Safety of Their Inputs?
CoRR
Maciej Chrabaszcz, Filip Szatkowski, Bartosz Wójcik, Jan Dubinski, Tomasz Trzcinski
2025 J jnl
Membership and Dataset Inference Attacks on Large Audio Generative Models.
CoRR
Jakub Proboszcz, Pawel Kochanski, Karol Korszun, Donato Crisostomi, Giorgio Strano, Emanuele Rodolà, Kamil Deja, Jan Dubinski
2025 J jnl
On Stealing Graph Neural Network Models.
CoRR
Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak
2025 A* conf
Privacy Attacks on Image AutoRegressive Models.
ICML
Antoni Kowalczuk, Jan Dubinski, Franziska Boenisch, Adam Dziedzic
2025 J jnl
Privacy Attacks on Image AutoRegressive Models.
CoRR
Antoni Kowalczuk, Jan Dubinski, Franziska Boenisch, Adam Dziedzic
2025 J jnl
Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models.
CoRR
Michel Meintz, Jan Dubinski, Franziska Boenisch, Adam Dziedzic
2025 J jnl
Universal Properties of Activation Sparsity in Modern Large Language Models.
CoRR
Filip Szatkowski, Patryk Bedkowski, Alessio Devoto, Jan Dubinski, Pasquale Minervini, Mikolaj Piórczynski, Simone Scardapane, Bartosz Wójcik
2024 J jnl
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks.
CoRR
Antoni Kowalczuk, Jan Dubinski, Atiyeh Ashari Ghomi, Yi Sui, George Stein, Jiapeng Wu, Jesse C. Cresswell, Franziska Boenisch, Adam Dziedzic
2024 J jnl
CDI: Copyrighted Data Identification in Diffusion Models.
CoRR
Jan Dubinski, Antoni Kowalczuk, Franziska Boenisch, Adam Dziedzic
2024 J jnl
Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN.
CoRR
Patryk Bedkowski, Jan Dubinski, Kamil Deja, Przemyslaw Rokita
2024 A conf
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks.
ECAI
Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak
2024 J jnl
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks.
CoRR
Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz P. Michalak
2024 J jnl
Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN.
CoRR
Mikolaj Kita, Jan Dubinski, Przemyslaw Rokita, Kamil Deja
2024 J jnl
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation.
CoRR
Joanna Kaleta, Pawel Skiers, Jan Dubinski, Przemyslaw Korzeniowski, Kamil Deja
2024 J jnl
Particle physics DL-simulation with control over generated data properties.
CoRR
Karol Rogozinski, Jan Dubinski, Przemyslaw Rokita, Kamil Deja
2024 A conf
Towards More Realistic Membership Inference Attacks on Large Diffusion Models.
WACV
Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki
2023 A* conf
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders.
NeurIPS
Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
2023 J jnl
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders.
CoRR
Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
2023 J jnl
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN.
CoRR
Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
2023 J jnl
Towards More Realistic Membership Inference Attacks on Large Diffusion Models.
CoRR
Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki
2022 — conf
Progressive Latent Replay for Efficient Generative Rehearsal.
ICONIP (4)
Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski
2022 J jnl
Progressive Latent Replay for efficient Generative Rehearsal.
CoRR
Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski
2022 — conf
Selectively Increasing the Diversity of GAN-Generated Samples.
ICONIP (1)
Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
2022 J jnl
Selectively increasing the diversity of GAN-generated samples.
CoRR
Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
2021 J jnl
End-to-End Sinkhorn Autoencoder With Noise Generator.
IEEE Access
Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemyslaw Spurek, Tomasz Trzcinski
2020 J jnl
End-to-end Sinkhorn Autoencoder with Noise Generator.
CoRR
Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Tomasz Trzcinski