Jonathan Passerat-Palmbach

73 papers A 1B 1Journal 50Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Mind the Gap: Where TEE Attestations Fall Short and Why We Need Proof of Cloud. SysTEX@EuroSys Filip Rezabek, Jonathan Passerat-Palmbach
2025	J	`jnl`	An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration. Trans. Mach. Learn. Res. Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
2025	J	`jnl`	Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models. CoRR Asia Belfiore, Jonathan Passerat-Palmbach, Dmitrii Usynin
2025	J	`jnl`	Differentially Private aggregate hints in mev-share. CoRR Jonathan Passerat-Palmbach, Sarisht Wadhwa
2025	—	`conf`	FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation. MICCAI (6) Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
2025	J	`jnl`	FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation. CoRR Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
2025	A	`conf`	Leveraging Homomorphic Encryption for Maximal Extractable Value (MEV) Mitigation: Blind Arbitrage on Decentralised Exchanges. FC Jonathan Passerat-Palmbach
2025	—	`conf`	Narrowing the Gap Between Tees Threat Model and Deployment Strategies. EuroS&P (Workshops) Filip Rezabek, Jonathan Passerat-Palmbach, Moe Mahhouk, Frieder Erdmann, Andrew Miller
2025	J	`jnl`	Narrowing the Gap between TEEs Threat Model and Deployment Strategies. CoRR Filip Rezabek, Jonathan Passerat-Palmbach, Moe Mahhouk, Frieder Erdmann, Andrew Miller
2025	J	`jnl`	Proof of Cloud: Data Center Execution Assurance for Confidential VMs. CoRR Filip Rezabek, Moe Mahhouk, Andrew Miller, Stefan Genchev, Quintus Kilbourn, Georg Carle, Jonathan Passerat-Palmbach
2025	J	`jnl`	The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning. CoRR Akis Linardos, Sarthak Pati, Ujjwal Baid, Brandon Edwards, Patrick Foley, Kevin Ta, Verena Chung, Micah Sheller, Muhammad Irfan Khan, Mojtaba Jafaritadi, Elina Kontio, Suleiman A. Khan, Leon Mächler, Ivan Ezhov, Suprosanna Shit, Johannes C. Paetzold, Gustav Grimberg, Manuel Nickel, David Naccache, Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni, Daewoon Kim, Leonard L. Klausmann, Prashant Shah, Bjoern H. Menze, Dimitrios Makris, Spyridon Bakas
2024	—	`conf`	ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification. ISBI Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni
2024	J	`jnl`	Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration. CoRR Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni
2024	J	`jnl`	Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models. CoRR Olivia Ma, Jonathan Passerat-Palmbach, Dmitrii Usynin
2024	J	`jnl`	Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions. CoRR Bianca-Mihaela Ganescu, Jonathan Passerat-Palmbach
2023	J	`jnl`	ARIA: On the interaction between Architectures, Aggregation methods and Initializations in federated visual classification. CoRR Vasilis Siomos, Sergio Naval Marimont, Jonathan Passerat-Palmbach, Giacomo Tarroni
2023	J	`jnl`	Contribution Evaluation in Federated Learning: Examining Current Approaches. CoRR Vasilis Siomos, Jonathan Passerat-Palmbach
2023	J	`jnl`	Cooperative AI via Decentralized Commitment Devices. CoRR Xinyuan Sun, Davide Crapis, Matt Stephenson, Barnabé Monnot, Thomas Thiery, Jonathan Passerat-Palmbach
2022	—	`conf`	FeTS Challenge 2022 Task 1: Implementing FedMGDA + and a New Partitioning. BrainLes@MICCAI (2) Vasilis Siomos, Giacomo Tarroni, Jonathan Passerat-Palmbach
2022	J	`jnl`	Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption. CoRR George-Liviu Pereteanu, Amir Alansary, Jonathan Passerat-Palmbach
2022	J	`jnl`	Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learning. Proc. Priv. Enhancing Technol. Dmitrii Usynin, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis
2021	J	`jnl`	Adversarial interference and its mitigations in privacy-preserving collaborative machine learning. Nat. Mach. Intell. Dmitrii Usynin, Alexander Ziller, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Ben Glocker, Georgios Kaissis, Jonathan Passerat-Palmbach
2021	—	`ed.`	Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings CLIP/DCL/LL-COVID19/PPML@MICCAI Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach
2021	J	`jnl`	Distributed Machine Learning and the Semblance of Trust. CoRR Dmitrii Usynin, Alexander Ziller, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis
2021	J	`jnl`	End-to-end privacy preserving deep learning on multi-institutional medical imaging. Nat. Mach. Intell. Georgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren
2021	J	`jnl`	FedRAD: Federated Robust Adaptive Distillation. CoRR Stefán Páll Sturluson, Samuel Trew, Luis Muñoz-González, Matei Grama, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary
2021	J	`jnl`	Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques. CoRR Ashly Lau, Jonathan Passerat-Palmbach
2020	J	`jnl`	2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments. CoRR Harry Cai, Daniel Rueckert, Jonathan Passerat-Palmbach
2020	—	`conf`	A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification. PPMLP@CCS Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach
2020	J	`jnl`	A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification. CoRR Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach
2020	—	`conf`	Blockchain-orchestrated machine learning for privacy preserving federated learning in electronic health data. Blockchain Jonathan Passerat-Palmbach, Tyler Farnan, Mike McCoy, Justin D. Harris, Sean T. Manion, Heather Leigh Flannery, Bill Gleim
2020	J	`jnl`	Privacy-preserving medical image analysis. CoRR Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis
2020	J	`jnl`	Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare. CoRR Matei Grama, Maria Musat, Luis Muñoz-González, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary
2020	J	`jnl`	The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage Sean P. Fitzgibbon, Samuel J. Harrison, Mark Jenkinson, Luke Baxter, Emma C. Robinson, Matteo Bastiani, Jelena Bozek, Vyacheslav Karolis, Lucilio Cordero-Grande, Anthony N. Price, Emer J. Hughes, Antonios Makropoulos, Jonathan Passerat-Palmbach, Andreas Schuh, Jianliang Gao, Seyedeh-Rezvan Farahibozorg, Jonathan O'Muircheartaigh, Judit Ciarrusta, Jesper Andersson
2019	J	`jnl`	A blockchain-orchestrated Federated Learning architecture for healthcare consortia. CoRR Jonathan Passerat-Palmbach, Tyler Farnan, Robert Miller, Marielle S. Gross, Heather Leigh Flannery, Bill Gleim
2019	J	`jnl`	Learning-Based Quality Control for Cardiac MR Images. IEEE Trans. Medical Imaging Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert
2018	J	`jnl`	A generic framework for privacy preserving deep learning. CoRR Théo Ryffel, Andrew Trask, Morten Dahl, Bobby Wagner, Jason Mancuso, Daniel Rueckert, Jonathan Passerat-Palmbach
2018	—	`conf`	Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. MICCAI (1) Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2018	J	`jnl`	Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. CoRR Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2018	J	`jnl`	Learning-Based Quality Control for Cardiac MR Images. CoRR Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Paul M. Matthews, Daniel Rueckert
2018	J	`jnl`	Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies. IEEE Trans. Pattern Anal. Mach. Intell. Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2018	J	`jnl`	The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. NeuroImage Antonios Makropoulos, Emma C. Robinson, Andreas Schuh, Robert Wright, Sean P. Fitzgibbon, Jelena Bozek, Serena J. Counsell, Johannes K. Steinweg, Katy Vecchiato, Jonathan Passerat-Palmbach, Gregor Lenz, Filippo Mortari, Tencho Tenev, Eugene P. Duff, Matteo Bastiani, Lucilio Cordero-Grande, Emer J. Hughes, Nora Tusor, Daniel Rueckert
2017	J	`jnl`	DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks. IEEE Trans. Medical Imaging Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Mellisa Damodaram, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz, Daniel Rueckert
2017	J	`jnl`	Employing Weak Annotations for Medical Image Analysis Problems. CoRR Martin Rajchl, Lisa M. Koch, Christian Ledig, Jonathan Passerat-Palmbach, Kazunari Misawa, Kensaku Mori, Daniel Rueckert
2017	—	`conf`	Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images. FIMH Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Ben Glocker, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert
2017	J	`jnl`	Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System. Frontiers Neuroinformatics Jonathan Passerat-Palmbach, Romain Reuillon, Mathieu Leclaire, Antonios Makropoulos, Emma C. Robinson, Sarah Parisot, Daniel Rueckert
2016	J	`jnl`	Comparison of Brain Networks with Unknown Correspondences. CoRR Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert
2016	J	`jnl`	DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks. CoRR Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
2016	J	`jnl`	Group-wise parcellation of the cortex through multi-scale spectral clustering. NeuroImage Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
2016	J	`jnl`	Learning under Distributed Weak Supervision. CoRR Martin Rajchl, Matthew C. H. Lee, Franklin Schrans, Alice Davidson, Jonathan Passerat-Palmbach, Giacomo Tarroni, Amir Alansary, Ozan Oktay, Bernhard Kainz, Daniel Rueckert
2016	J	`jnl`	Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies. CoRR Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2016	J	`jnl`	Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016. CoRR Sarah Parisot, Jonathan Passerat-Palmbach, Markus D. Schirmer, Boris Gutman
2015	—	`conf`	A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation. MICCAI (3) Sarah Parisot, Martin Rajchl, Jonathan Passerat-Palmbach, Daniel Rueckert
2015	J	`jnl`	Harnessing aspect-oriented programming on GPU: application to warp-level parallelism. Int. J. Comput. Aided Eng. Technol. Jonathan Passerat-Palmbach, Jonathan Caux, Pierre Schweitzer, Pridi Siregar, Claude Mazel, David R. C. Hill
2015	J	`jnl`	Model Exploration Using OpenMOLE - a workflow engine for large scale distributed design of experiments and parameter tuning. CoRR Romain Reuillon, Mathieu Leclaire, Jonathan Passerat-Palmbach
2015	—	`conf`	Model exploration using OpenMOLE a workflow engine for large scale distributed design of experiments and parameter tuning. HPCS Romain Reuillon, Mathieu Leclaire, Jonathan Passerat-Palmbach
2015	—	`conf`	Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data. IPMI Lisa M. Koch, Martin Rajchl, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert
2015	J	`jnl`	Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics Processors. CoRR Jonathan Passerat-Palmbach, Claude Mazel, Antoine Mahul, David R. C. Hill
2015	J	`jnl`	TaskLocalRandom: a statistically sound substitute to pseudorandom number generation in parallel java tasks frameworks. Concurr. Comput. Pract. Exp. Jonathan Passerat-Palmbach, Claude Mazel, David R. C. Hill
2015	—	`conf`	Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex. IPMI Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert
2015	J	`jnl`	Warp-Level Parallelism: Enabling Multiple Replications In Parallel on GPU. CoRR Jonathan Passerat-Palmbach, Jonathan Caux, Pridi Siregar, Claude Mazel, David R. C. Hill
2014	J	`jnl`	How to Correctly Deal With Pseudorandom Numbers in Manycore Environments - Application to GPU programming with Shoverand. CoRR Jonathan Passerat-Palmbach, David R. C. Hill
2013	—	`—`	Contributions to parallel stochastic simulation: Application of good software engineering practices to the distribution of pseudorandom streams in hybrid Monte-Carlo simulations. (Contributions à la simulation stochastique parallèle: architectures logicielles pour la distribution de flux pseudo-aléatoires dans les simulations Monte Carlo sur CPU/GPU). Jonathan Passerat-Palmbach
2013	J	`jnl`	Distribution of random streams for simulation practitioners. Concurr. Comput. Pract. Exp. David R. C. Hill, Claude Mazel, Jonathan Passerat-Palmbach, Mamadou Kaba Traoré
2013	—	`conf`	Parallel stepwise stochastic simulation: harnessing GPUs to explore possible futures states of a chromosome folding model thanks to the possible futures algorithm (PFA). SIGSIM-PADS Jonathan Passerat-Palmbach, Jonathan Caux, Yannick Le Pennec, Romain Reuillon, Ivan Junier, François Képès, David R. C. Hill
2013	—	`conf`	Prototyping parallel simulations on manycore architectures using Scala: A case study. HPCS Jonathan Passerat-Palmbach, Romain Reuillon, Claude Mazel, David R. C. Hill
2012	—	`conf`	HPCS 2012 tutorials: Tutorial I: High performance computing in biomedical informatics. HPCS Hesham H. Ali, Laura Ricci, Italo Epicoco, Manuel Ujaldon, Jonathan Passerat-Palmbach, David R. C. Hill, Manuel Villén-Altamirano
2012	—	`conf`	How to correctly deal with pseudorandom numbers in manycore environments: Application to GPU programming with Shoverand. HPCS Jonathan Passerat-Palmbach, David R. C. Hill
2012	J	`jnl`	Parallel stochastic simulations with rigorous distribution of pseudo-random numbers with DistMe: Application to life science simulations. Concurr. Comput. Pract. Exp. Romain Reuillon, Mamadou K. Traoré, Jonathan Passerat-Palmbach, David R. C. Hill
2012	J	`jnl`	Pseudo-random streams for distributed and parallel stochastic simulations on GP-GPU. J. Simulation Jonathan Passerat-Palmbach, Claude Mazel, David R. C. Hill
2012	—	`conf`	ThreadLocalMRG32k3a: A statistically sound substitute to pseudorandom number generation in parallel Java applications. HPCS Jonathan Passerat-Palmbach, Claude Mazel, David R. C. Hill
2011	B	`conf`	Pseudo-Random Number Generation on GP-GPU. PADS Jonathan Passerat-Palmbach, Claude Mazel, David R. C. Hill
2011	—	`conf`	ShoveRand: A model-driven framework to easily generate random numbers on GP-GPU. HPCS Jonathan Passerat-Palmbach, Claude Mazel, Bruno Bachelet, David R. C. Hill