Obfuscating Evasive Decision Trees

Shalini Banerjee; Steven D. Galbraith; Giovanni Russello

Paper 2023/068

Obfuscating Evasive Decision Trees

Shalini Banerjee

, University of Auckland

Steven D. Galbraith

, University of Auckland

Giovanni Russello

, University of Auckland

Abstract

We present a new encoder for hiding parameters in an interval membership function. As an application, we design a simple and efficient virtual black-box obfuscator for evasive decision trees. The security of our construction is proved in the random oracle model. Our goal is to increase the class of programs that have practical and cryptographically secure obfuscators.

Metadata

Available format(s): PDF
Category: Cryptographic protocols
Publication info: Published elsewhere. Minor revision. INDOCRYPT 2023
Keywords: Program Obfuscation Privacy-Preserving Classification Decision Trees VBB Security
Contact author(s): shalini banerjee @ auckland ac nz
s galbraith @ auckland ac nz
g russello @ auckland ac nz
History: 2024-02-12: last of 3 revisions; 2023-01-20: received; See all versions
Short URL: https://ia.cr/2023/068
License: CC BY

BibTeX

@misc{cryptoeprint:2023/068,
      author = {Shalini Banerjee and Steven D. Galbraith and Giovanni Russello},
      title = {Obfuscating Evasive Decision Trees},
      howpublished = {Cryptology {ePrint} Archive, Paper 2023/068},
      year = {2023},
      url = {https://eprint.iacr.org/2023/068}
}