Georgios Kaissis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
9
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Unintended Memorization of Sensitive Information in Fine-Tuned Language Models. | Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, Paulina Seidl, Rdiger von Eisenhart-Rothe, Florian Hinterwimmer, Daniel Rueckert |
| 2025 | ICLR | Laplace Sample Information: Data Informativeness Through a Bayesian Lens. | Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis |
| 2025 | ICML | Scaling Laws for Differentially Private Language Models. | Ryan McKenna, Yangsibo Huang, Amer Sinha, Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Badih Ghazi, Georgios Kaissis, Ravi Kumar, Ruibo Liu, Da Yu, Chiyuan Zhang |
| 2025 | MICCAI | Memorisation Bias: AI Predictions for Data Contributors Are Biased Towards Their Health States in the Training Data. | Moritz Knolle, Martin J. Menten, Daniel Rueckert, Georgios Kaissis, Ben Glocker |
| 2025 | WACV | Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers. | Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhov, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold |
| 2024 | ECCV | ChEX: Interactive Localization and Region Description in Chest X-Rays. | Philip Mller, Georgios Kaissis, Daniel Rueckert |
| 2024 | ICML | Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. | Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert |
| 2024 | MICCAI | On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models. | Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco |
| 2024 | MICCAI | Fair and Private CT Contrast Agent Detection. | Philipp Kaess, Alexander Ziller, Lea Mantz, Daniel Rueckert, Florian J. Fintelmann, Georgios Kaissis |
| 2024 | MICCAI | Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data. | Richard Osuala, Daniel Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Daz, Julia A. Schnabel, Karim Lekadir |
| 2024 | MICCAI | Complex-Valued Federated Learning with Differential Privacy and MRI Applications. | Anneliese Riess, Alexander Ziller, Stefan Kolek, Daniel Rueckert, Julia A. Schnabel, Georgios Kaissis |
| 2023 | CCS | Membership Inference Attacks Against Semantic Segmentation Models. | Toms Chobola, Dmitrii Usynin, Georgios Kaissis |
| 2023 | CCS | Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models. | Florian A. Hlzl, Daniel Rueckert, Georgios Kaissis |
| 2023 | CCS | Utility-preserving Federated Learning. | Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis |
| 2023 | CVPR | Interactive and Explainable Region-guided Radiology Report Generation. | Tim Tanida, Philip Mller, Georgios Kaissis, Daniel Rueckert |
| 2023 | MICCAI | Gradient Self-alignment in Private Deep Learning. | David Bani-Harouni, Tamara T. Mueller, Daniel Rueckert, Georgios Kaissis |
| 2023 | MICCAI | Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. | Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis |
| 2023 | MICCAI | Extended Graph Assessment Metrics for Regression and Weighted Graphs. | Tamara T. Mueller, Sophie Starck, Leonhard F. Feiner, Kyriaki-Margarita Bintsi, Daniel Rueckert, Georgios Kaissis |
| 2023 | MICCAI | Body Fat Estimation from Surface Meshes Using Graph Neural Networks. | Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert |
| 2023 | MICCAI | Anatomy-Driven Pathology Detection on Chest X-rays. | Philip Mller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert |
| 2023 | MICCAI | MAD: Modality Agnostic Distance Measure for Image Registration. | Vasiliki Sideri-Lampretsa, Veronika A. Zimmer, Huaqi Qiu, Georgios Kaissis, Daniel Rueckert |
| 2022 | ECCV | Joint Learning of Localized Representations from Medical Images and Reports. | Philip Mller, Georgios Kaissis, Congyu Zou, Daniel Rueckert |
| 2022 | ECCV | Relationformer: A Unified Framework for Image-to-Graph Generation. | Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze |
| 2022 | MICCAI | Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays. | Philip Mller, Georgios Kaissis, Congyu Zou, Daniel Rueckert |
| 2022 | MICCAI | Can Collaborative Learning Be Private, Robust and Scalable? | Dmitrii Usynin, Helena Klause, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis |
| 2021 | ICIP | U-Noise: Learnable Noise Masks for Interpretable Image Segmentation. | Teddy Koker, Fatemehsadat Mireshghallah, Tom Titcombe, Georgios Kaissis |
| 2021 | MICCAI | Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. | Alina Dima, Johannes C. Paetzold, Friederike Jungmann, Tristan Lemke, Philipp Raffler, Georgios Kaissis, Daniel Rueckert, Rickmer Braren |
| 2021 | MICCAI | RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. | Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz |
| 2021 | MICCAI | AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation. | Felix Meissen, Georgios Kaissis, Daniel Rueckert |