Jan Dubinski

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Diffusion Models

Representational Power

Supervised Learning

Top Venues

Publications

Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Michalak
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks. CoRR (2024)
Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki
Towards More Realistic Membership Inference Attacks on Large Diffusion Models. WACV (2024)
Patryk Bedkowski, Jan Dubinski, Kamil Deja, Przemyslaw Rokita
Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN. CoRR (2024)
Karol Rogozinski, Jan Dubinski, Przemyslaw Rokita, Kamil Deja
Particle physics DL-simulation with control over generated data properties. CoRR (2024)
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 (2024)
Mikolaj Kita, Jan Dubinski, Przemyslaw Rokita, Kamil Deja
Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN. CoRR (2024)
Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki
Towards More Realistic Membership Inference Attacks on Large Diffusion Models. CoRR (2023)
Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders. CoRR (2023)
Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders. NeurIPS (2023)
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 (2023)
Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
Selectively increasing the diversity of GAN-generated samples. CoRR (2022)
Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
Selectively Increasing the Diversity of GAN-Generated Samples. ICONIP (1) (2022)
Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski
Progressive Latent Replay for efficient Generative Rehearsal. CoRR (2022)
Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski
Progressive Latent Replay for Efficient Generative Rehearsal. ICONIP (4) (2022)
Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemyslaw Spurek, Tomasz Trzcinski
End-to-End Sinkhorn Autoencoder With Noise Generator. IEEE Access 9 (2021)
Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Tomasz Trzcinski
End-to-end Sinkhorn Autoencoder with Noise Generator. CoRR (2020)