Cryptology ePrint Archive: Report 2019/1085

Matrix PRFs: Constructions, Attacks, and Applications to Obfuscation

Yilei Chen and Minki Hhan and Vinod Vaikuntanathan and Hoeteck Wee

Abstract: We initiate a systematic study of pseudorandom functions (PRFs) that are computable by simple matrix branching programs; we refer to these objects as “matrix PRFs”. Matrix PRFs are attractive due to their simplicity, strong connections to complexity theory and group theory, and recent applications in program obfuscation.

Our main results are:

* We present constructions of matrix PRFs based on the conjectured hardness of some simple computational problems pertaining to matrix products.

* We show that any matrix PRF that is computable by a read-c, width w branching program can be broken in time poly(w^c); this means that any matrix PRF based on constant-width matrices must read each input bit omega(log lambda) times. Along the way, we simplify the “tensor switching lemmas” introduced in previous IO attacks.

* We show that a subclass of the candidate local-PRG proposed by Barak et al. [Eurocrypt 2018] can be broken using simple matrix algebra.

* We show that augmenting the CVW18 IO candidate with a matrix PRF provably immunizes the candidate against all known algebraic and statistical zeroizing attacks, as captured by a new and simple adversarial model.

Category / Keywords: foundations / Pseudorandom Functions, Obfuscation

Original Publication (with minor differences): IACR-TCC-2019

Date: received 23 Sep 2019, last revised 23 Sep 2019

Contact author: chenyilei ra at gmail com, hhan_ at snu ac kr, vinodv at csail mit edu, wee at di ens fr

Available format(s): PDF | BibTeX Citation

Version: 20190925:133233 (All versions of this report)

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