Kaissis, Georgios

22 publications

WACV 2025 Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers Alexander H. Berger, Laurin Lux, Suprosanna Shit, Ivan Ezhof, Georgios Kaissis, Martin J. Menten, Daniel Rueckert, Johannes C. Paetzold

NeurIPS 2025 Exploring the Limits of Strong Membership Inference Attacks on Large Language Models Jamie Hayes, Ilia Shumailov, Christopher A. Choquette-Choo, Matthew Jagielski, Georgios Kaissis, Milad Nasr, Meenatchi Sundaram Muthu Selva Annamalai, Niloofar Mireshghallah, Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye, Katherine Lee, Franziska Boenisch, Adam Dziedzic, A. Feder Cooper

NeurIPS 2025 Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis

TMLR 2025 Improved Localized Machine Unlearning Through the Lens of Memorization Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis, Daniel Rueckert, Gintare Karolina Dziugaite, Eleni Triantafillou

ICLR 2025 Laplace Sample Information: Data Informativeness Through a Bayesian Lens Johannes Kaiser, Kristian Schwethelm, Daniel Rueckert, Georgios Kaissis

ICML 2025 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

NeurIPS 2025 Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Jamie Hayes, Borja Balle, Flavio Calmon, Jean Louis Raisaro

TMLR 2024 A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations Tamara T. Müller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis

TMLR 2024 Are Population Graphs Really as Powerful as Believed? Tamara T. Müller, Sophie Starck, Kyriaki-Margarita Bintsi, Alexander Ziller, Rickmer Braren, Georgios Kaissis, Daniel Rueckert

NeurIPS 2024 Attack-Aware Noise Calibration for Differential Privacy Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Flavio du Pin Calmon, Carmela Troncoso

ICML 2024 Beyond the Calibration Point: Mechanism Comparison in Differential Privacy Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert

ECCV 2024 ChEX: Interactive Localization and Region Description in Chest X-Rays Philip Müller, Georgios Kaissis, Daniel Rueckert

TMLR 2024 Kernel Normalized Convolutional Networks Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis

TMLR 2024 Memorisation in Machine Learning: A Survey of Results Dmitrii Usynin, Moritz Knolle, Georgios Kaissis

CVPR 2023 Interactive and Explainable Region-Guided Radiology Report Generation Tim Tanida, Philip Müller, Georgios Kaissis, Daniel Rueckert

TMLR 2023 Label Noise-Robust Learning Using a Confidence-Based Sieving Strategy Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis

MIDL 2023 On the Pitfalls of Using the Residual Error as Anomaly Score Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert

NeurIPS 2023 Optimal Privacy Guarantees for a Relaxed Threat Model: Addressing Sub-Optimal Adversaries in Differentially Private Machine Learning Georgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert

NeurIPSW 2023 Privacy-Utility Trade-Offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure Tamara Müller, Maulik Chevli, Ameya Daigavane, Daniel Rueckert, Georgios Kaissis

ECCV 2022 Joint Learning of Localized Representations from Medical Images and Reports Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert

ECCV 2022 Relationformer: A Unified Framework for Image-to-Graph Generation Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern Menze

NeurIPSW 2021 An Automatic Differentiation System for the Age of Differential Privacy Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Daniel Rueckert, Georgios Kaissis