TU Darmstadt / ULB / TUbiblio

FLUTE: Fast and Secure Lookup Table Evaluations

Brüggemann, Andreas ; Hundt, Robin ; Schneider, Thomas ; Suresh, Ajith ; Yalame, Hossein (2023)
FLUTE: Fast and Secure Lookup Table Evaluations.
44th IEEE Symposium on Security and Privacy. San Francisco, USA (22.05.2023-25.05.2023)
doi: 10.1109/SP46215.2023.10179345
Konferenzveröffentlichung, Bibliographie

Dies ist die neueste Version dieses Eintrags.

Kurzbeschreibung (Abstract)

The concept of using Lookup Tables (LUTs) instead of Boolean circuits is well-known and been widely applied in a variety of applications, including FPGAs, image processing, and database management systems. In cryptography, using such LUTs instead of conventional gates like AND and XOR results in more compact circuits and has been shown to substantially improve online performance when evaluated with secure multi-party computation. Several recent works on secure floating-point computations and privacy-preserving machine learning inference rely heavily on existing LUT techniques. However, they suffer from either large overhead in the setup phase or subpar online performance.

We propose FLUTE, a novel protocol for secure LUT evaluation with good setup and online performance. In a two-party setting, we show that FLUTE matches or even outperforms the online performance of all prior approaches, while being competitive in terms of overall performance with the best prior LUT protocols. In addition, we provide an open-source implementation of FLUTE written in the Rust programming language, and implementations of the Boolean secure two-party computation protocols of ABY2.0 and silent OT. We find that FLUTE outperforms the state of the art by two orders of magnitude in the online phase while retaining similar overall communication.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Brüggemann, Andreas ; Hundt, Robin ; Schneider, Thomas ; Suresh, Ajith ; Yalame, Hossein
Art des Eintrags: Bibliographie
Titel: FLUTE: Fast and Secure Lookup Table Evaluations
Sprache: Englisch
Publikationsjahr: 26 Mai 2023
Ort: Piscataway
Verlag: IEEE
Buchtitel: Proceedings: 44th IEEE Symposium on Security and Privacy: SP 2023
Veranstaltungstitel: 44th IEEE Symposium on Security and Privacy
Veranstaltungsort: San Francisco, USA
Veranstaltungsdatum: 22.05.2023-25.05.2023
DOI: 10.1109/SP46215.2023.10179345
Zugehörige Links:
Kurzbeschreibung (Abstract):

The concept of using Lookup Tables (LUTs) instead of Boolean circuits is well-known and been widely applied in a variety of applications, including FPGAs, image processing, and database management systems. In cryptography, using such LUTs instead of conventional gates like AND and XOR results in more compact circuits and has been shown to substantially improve online performance when evaluated with secure multi-party computation. Several recent works on secure floating-point computations and privacy-preserving machine learning inference rely heavily on existing LUT techniques. However, they suffer from either large overhead in the setup phase or subpar online performance.

We propose FLUTE, a novel protocol for secure LUT evaluation with good setup and online performance. In a two-party setting, we show that FLUTE matches or even outperforms the online performance of all prior approaches, while being competitive in terms of overall performance with the best prior LUT protocols. In addition, we provide an open-source implementation of FLUTE written in the Rust programming language, and implementations of the Boolean secure two-party computation protocols of ABY2.0 and silent OT. We find that FLUTE outperforms the state of the art by two orders of magnitude in the online phase while retaining similar overall communication.

Freie Schlagworte: Engineering, E4, Cryptography and Privacy Engineering, ENCRYPTO, CYSEC, GRK Privacy&Trust for Mobile Users, Project A.1
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Praktische Kryptographie und Privatheit
20 Fachbereich Informatik > Kryptographische Protokolle
DFG-Sonderforschungsbereiche (inkl. Transregio)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen
Hinterlegungsdatum: 10 Jul 2023 08:52
Letzte Änderung: 30 Jul 2024 10:11
PPN:
Export:
Suche nach Titel in: TUfind oder in Google

Verfügbare Versionen dieses Eintrags

Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen