TRUstworthy Multi-site Privacy Enhancing Technologies

Informazioni relative al progetto

TRUMPET

ID dell’accordo di sovvenzione: 101070038

DOI

10.3030/101070038

Progetto chiuso

Data della firma CE 22 Giugno 2022

Data di avvio 1 Ottobre 2022

Data di completamento 31 Dicembre 2025

Finanziato da

• Civil Security for Society

Costo totale

€ 4 243 347,50

Contributo UE

€ 4 243 347,50

Coordinato da

FUNDACION CENTRO TECNOLOXICO DE TELECOMUNICACIONS DE GALICIA
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (3)

Initial CSP, DEP and synergies establishment

Initial CSP DEP and synergies establishment Website and first report that explains how TRUMPET will communicate its developments and outcomes how the consortium will ensure visibility and promotion of the project and dissemination of its results throughout the project and finally how an exploitation strategy is developed This report also will show the EUlevel roadmapping and outreach strategy IRST CEA ALL

SoA and BSoA for FL-tailored AI models, PET methods and tool

SoA and BSoA for FL-tailored AI models, PET methods and tools will contain the results of T1.1 and T2.1. The deliverable will contain the selection of the AI models and central aggregation methods for the FL setting, as well as an in-depth analysis of state of the art and improvements of the PET methods and SW tools for FL scenarios. [UVIGO, GRAD, TVS, AVO, INRIA]

Updated CSP, DEP and synergies establishment

Updated CSP, DEP and synergies establishment. [IRST, CEA, ALL]

Pubblicazioni

Peer reviewed articles (3)

Fast polynomial arithmetic in homomorphic encryption with cyclo-multiquadratic fields

Autori: Iván Blanco-Chacón; Alberto Pedrouzo-Ulloa; Rahinatou Yuh Njah Nchiwo; Beatriz Barbero-Lucas
Pubblicato in: Cryptography and Communications, 2025, ISSN 1936-2455
Editore: Springer Nature
DOI: 10.48550/ARXIV.2304.04619

Security Guidelines for Implementing Homomorphic Encryption

Autori: Jean-Philippe Bossuat; Rosario Cammarota; Ilaria Chillotti; Benjamin R. Curtis; Wei Dai 0007; Huijing Gong; Erin Hales; Duhyeong Kim; Bryan Kumara; Changmin Lee 0001; Xianhui Lu; Carsten Maple; Alberto Pedrouzo-Ulloa; Rachel Player; Yuriy Polyakov; Luis Antonio Ruiz Lopez; Yongsoo Song; Donggeon Yhee
Pubblicato in: IACR Communications in Cryptology, 2025, ISSN 3006-5496
Editore: International Association for Cryptologic Research (IACR)
DOI: 10.62056/ANXRA69P1

Privacy-aware Berrut Approximated Coded Computing for Federated Learning

Autori: Xavier Martínez Luaña; Rebeca P. Díaz Redondo; Manuel Fernández-Veiga
Pubblicato in: Journal of Network and Computer Applications, 2025, ISSN 1879-1298
Editore: Elsevier
DOI: 10.48550/ARXIV.2405.01704

Conference proceedings (6)

Enhancing Privacy in Federated Learning: A Practical Assessment of Combined PETs in a Cross-Silo Setting

Autori: Jaime Loureiro-Acuña, Xavier Martínez-Luaña, Héctor Padín-Torrente, Gonzalo Jiménez-Balsa, Carlos García-Pagán, Ines Ortega-Fernandez
Pubblicato in: Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security, 2025
Editore: ACM
DOI: 10.1145/3658664.3659661

AIMOS: Metamorphic Testing of AI - An Industrial Application

Autori: Lemesle, Augustin; Varasse, Aymeric; Chihani, Zakaria; Tachet, Dominique
Pubblicato in: Lecture Notes in Computer Science ISBN: 9783031409523, 2023
Editore: Springer Nature
DOI: 10.5281/ZENODO.12755256

A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation

Autori: Miguel Morona-Mínguez, Alberto Pedrouzo-Ulloa, Fernando Pérez-González
Pubblicato in: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA), 2025
Editore: IEEE
DOI: 10.1109/FLTA63145.2024.10840167

Private Sampling with Identifiable Cheaters

Autori: Sabater, César; Hahn, Florian; Peter, Andreas; Ramon, Jan
Pubblicato in: Proceedings on Privacy Enhancing Technologies, 2023
Editore: Privacy Enhancing Technologies Symposium Advisory Board
DOI: 10.5281/ZENODO.7876013

Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies

Autori: Alberto Pedrouzo-Ulloa; Jan Ramon; Fernando Pérez-González; Siyanna Lilova; Patrick Duflot; Zakaria Chihani; Nicola Gentili; Paola Ulivi; Mohammad Ashadul Hoque; Twaha Mukammel; Zeev Pritzker; Augustin Lemesle; Jaime Loureiro-Acuña; Xavier Martínez Luaña; Gonzalo Jiménez-Balsa
Pubblicato in: 2023 IEEE International Conference on Cyber Security and Resilience (CSR), 2023
Editore: IEEE
DOI: 10.5281/ZENODO.7990784

Practical Multi-Key Homomorphic Encryption for More Flexible and Efficient Secure Federated Aggregation (preliminary work)

Autori: Pedrouzo-Ulloa, Alberto; Aymen Boudguiga; Chakraborty, Olive; Sirdey, Renaud; Stan, Oana; Zuber, Martin
Pubblicato in: IACR Cryptol. ePrint Arch., 2023
Editore: IEEE
DOI: 10.1109/CSR57506.2023.10224979