Jonathan Passerat‐Palmbach

Flashback Technologies (United States) — United States

Computer Science · Physical Sciences

21h-index3.1kcitations92works0.92yr avg
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Research Topics

Privacy-Preserving Technologies in Data(22), Functional Brain Connectivity Studies(16), Distributed and Parallel Computing Systems(11), Neonatal and fetal brain pathology(11), Cryptography and Data Security(10)

Publications92 total

Leveraging Homomorphic Encryption for Maximal Extractable Value (MEV) Mitigation: Blind Arbitrage on Decentralised Exchanges
Lecture notes in computer science·2026
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods
The Journal of Machine Learning for Biomedical Imaging·2025· 2 citedOpen Access
Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models
arXiv (Cornell University)·2025Open Access
Proof of Cloud: Data Center Execution Assurance for Confidential VMs
arXiv (Cornell University)·2025Open Access
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
Lecture notes in computer science·2025
Differentially Private aggregate hints in mev-share
arXiv (Cornell University)·2025Open Access
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Nature Communications·2025· 3 citedOpen Access
Narrowing the Gap Between Tees Threat Model and Deployment Strategies
2025
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
arXiv (Cornell University)·2025Open Access
Narrowing the Gap between TEEs Threat Model and Deployment Strategies
arXiv (Cornell University)·2025Open Access
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models
arXiv (Cornell University)·2024Open Access
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
arXiv (Cornell University)·2024· 1 citedOpen Access
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification
2024Open Access
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions
arXiv (Cornell University)·2024· 6 citedOpen Access
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification
arXiv (Cornell University)·2023Open Access
Contribution Evaluation in Federated Learning: Examining Current Approaches
arXiv (Cornell University)·2023· 1 citedOpen Access
Cooperative AI via Decentralized Commitment Devices
arXiv (Cornell University)·2023Open Access
The Developing Human Connectome Project Neonatal Data Release
Frontiers in Neuroscience·2022· 177 citedOpen Access
Neonatal multi-modal cortical profiles predict 18-month developmental outcomes
Developmental Cognitive Neuroscience·2022· 21 citedOpen Access
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption
arXiv (Cornell University)·2022· 6 citedOpen Access
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Frequent Co-authors

Daniel Rueckert(32), Andreas Schuh(12), Joseph V. Hajnal(12), Antonios Makropoulos(11), Emma C. Robinson(11), Lucilio Cordero‐Grande(10), Emer Hughes(10), Anthony N. Price(10), A. David Edwards(10), Jelena Božek(8), Jana Hutter(8), Jonathan O’Muircheartaigh(8), David R.C. Hill(8), Martin Rajchl(7), Claude Mazel(7), Georgios Kaissis(6), Ozan Oktay(6), Wenjia Bai(6), Daan Christiaens(6), Ralica Dimitrova(6)