arXiv AI
Jun 26

TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems

arXiv:2606. 26664v1 Announce Type: cross Abstract: Existing homomorphic encryption (HE)-based GNN systems adopt a graph-centric paradigm that couples per-query cost to global graph size, limiting evaluations to at most ~20k nodes and making them incompatible with dynamic, large-scale financial graphs.

By Ngoc Bao Anh Le, Thai T. Vu, John Le, Heath Cooper, Jun Shen
arXiv AI
5d ago

Pricing Cross-Bank Context in Federated Anti-Money Laundering

The paper investigates how to detect money‑laundering patterns across separate bank transaction graphs using federated learning. By leveraging transactions that both banks already record, the authors approximate remote account states locally and run multi‑layer Graph Neural Networks without exchanging sensitive account data. Experiments on AMLworld HI‑Small show that a simple baseline using locally available information yields the greatest performance, while adding limited context such as transaction counts improves results; however, sharing detailed remote states requires excessive noise that diminishes utility.

By Lidia Losavio, Dario Fenoglio, Martin Gjoreski, Marc Langheinrich
arXiv AI
6d ago

Pacifo: An Efficient Fully Homomorphic Encryption-based Lightweight ResNet for Trustworthy Machine Learning as a Service

Pacifo is a framework that adapts fine‑tuning strategies to efficiently run the ResNet20 model using Fully Homomorphic Encryption (FHE). It introduces a public‑private layer partitioning scheme and an efficient ReLU approximation, reducing private layers and costly FHE operations during inference. Compared to state‑of‑the‑art FHE implementations, Pacifo achieves a 3.7–21.7× speedup while preserving 95–99 % of the original plaintext model accuracy.

By Yang Li, Gang He, Ruichen Zhang, Guangyuan Liu, Yinqiu Liu
arXiv Machine Learning
Oct 19

Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption

arXiv:2509.01253v2 Announce Type: replace-cross Abstract: In contemporary cloud-based services, protecting users' sensitive data and ensuring the confidentiality of the server's model are critical. F...

By Sayan Biswas, Philippe Chartier, Akash Dhasade, Tom Jurien, David Kerriou, Anne-Marie Kerrmarec, Mohammed Lemou, Franklin Tranie, Martijn de Vos, Milos Vujasinovic