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Efficient Branch-and-Bound Testing and Verification of zkVMs

arXiv cs.CRby Hideaki Takahashi ()1 min read6 · 4 reads
AI summary · glm-5.3Summaries by Vani AI

ZEBRA verifies zkVM constraint systems via branch-and-bound cardinality counting, finding 11 zero-day bugs across five real-world zkVMs and running 51.5x faster than SMT verification.

ZEBRA reduces zkVM correctness to a solution-set cardinality problem requiring that each constraint system admit exactly one valid execution trace, eliminating redundancies like null-row padding and non-deterministic permutations before counting. It lifts analysis from finite-field witnesses to an integer interval lattice, exploiting that constraints across 5 real-world zkVMs use only 14.0% of theoretical connectivity capacity on average, enabling tight interval propagation. A parallel branch-and-bound search produces concrete counterexamples or certifies absence of violations within a bounded region. ZEBRA discovers 11 zero-day bugs (6 independently confirmed, 3 fixed), is 51.5x faster than SMT-based verification, and verifies 16.5 percentage points more instances.

Key facts
  • Reduces zkVM verification to solution-set cardinality over a canonical trace space
  • Found 11 zero-day bugs in 5 real-world zkVMs; 6 confirmed, 3 already fixed
  • 51.5x faster than SMT verification and verifies 16.5pp more instances
  • Exploits 14% average constraint connectivity sparsity via integer interval lattice
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From the original article

1 min read at arxiv.org

Zero-knowledge virtual machines (zkVMs) enable verifiable execution of general-purpose programs by translating virtual machine semantics into algebraic constraints over execution traces. The correctness of these constraints is critical: a single incorrect constraint can admit forged proofs (under-constrained) or reject valid executions (over-constrained).

arXiv cs.CR

By Hideaki Takahashi · arxiv.org

Read the full article at arXiv cs.CR

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