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Paper: Hiding in Plain Sight: Memory-tight Proofs via Randomness Programming

Authors:
Ashrujit Ghoshal , University of Washington
Riddhi Ghosal , University of California, Los Angeles
Joseph Jaeger , Georgia Institute of Technology
Stefano Tessaro , University of Washington
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Presentation: Slides
Conference: EUROCRYPT 2022
Abstract: This paper continues the study of {\em memory-tight reductions} (Auerbach et al, CRYPTO '17). These are reductions that only incur minimal memory costs over those of the original adversary, allowing precise security statements for memory-bounded adversaries (under appropriate assumptions expressed in terms of adversary time and memory usage). Despite its importance, only a few techniques to achieve memory-tightness are known and impossibility results in prior works show that even basic, textbook reductions cannot be made memory-tight. This paper introduces a new class of memory-tight reductions which leverage random strings in the interaction with the adversary to hide state information, thus shifting the memory costs to the adversary. We exhibit this technique with several examples. We give memory-tight proofs for digital signatures allowing many forgery attempts when considering randomized message distributions or probabilistic RSA-FDH signatures specifically. We prove security of the authenticated encryption scheme Encrypt-then-PRF with a memory-tight reduction to the underlying encryption scheme. By considering specific schemes or restricted definitions we avoid generic impossibility results of Auerbach et al.~(CRYPTO '17) and Ghoshal et al.~(CRYPTO '20). As a further case study, we consider the textbook equivalence of CCA-security for public-key encryption for one or multiple encryption queries. We show two qualitatively different memory-tight versions of this result, depending on the considered notion of CCA security.
Video from EUROCRYPT 2022
BibTeX
@inproceedings{eurocrypt-2022-31930,
  title={Hiding in Plain Sight: Memory-tight Proofs via Randomness Programming},
  publisher={Springer-Verlag},
  author={Ashrujit Ghoshal and Riddhi Ghosal and Joseph Jaeger and Stefano Tessaro},
  year=2022
}