Venue. NFM

2026

Towards Formal Verification of Hybrid Synchronous Programs with Refinement Types dane-2026-towards

DOI

Automatic Certification of the Active Corner Method for Collision Avoidance kheterpal-2026-automatic

DOI

2024

Formalization of Asymptotic Convergence for Stationary Iterative Methods tekriwal-2024-formalization

DOI

2023

Formalized High Level Synthesis with Applications to Cryptographic Hardware harrison-2023-formalized

DOI

Verified ALL(*) Parsing with Semantic Actions and Dynamic Input Validation lasserCoStar2023

Follow up to CoStar.

DOI

2021

On Symmetry and Quantification: A New Approach to Verify Distributed Protocols goelSymmetryQuantificationNew2021

Proving that an unbounded distributed protocol satisfies a given safety property amounts to finding a quantified inductive invariant that implies the property for all possible instance sizes of the protocol. Existing methods for solving this problem can be described as search procedures for an invariant whose quantification prefix fits a particular template. We propose an alternative constructive approach that does not prescribe, a priori, a specific quantifier prefix. Instead, the required prefix is automatically inferred without any search by carefully analyzing the structural symmetries of the protocol. The key insight underlying this approach is that symmetry and quantification are closely related concepts that express protocol invariance under different re-arrangements of its components. We propose symmetric incremental induction, an extension of the finite-domain IC3/PDR algorithm, that automatically derives the required quantified inductive invariant by exploiting the connection between symmetry and quantification. While various attempts have been made to exploit symmetry in verification applications, to our knowledge, this is the first demonstration of a direct link between symmetry and quantification in the context of clause learning during incremental induction. We also describe a procedure to automatically find a minimal finite size, the cutoff, that yields a quantified invariant proving safety for any size. Our approach is implemented in IC3PO, a new verifier for distributed protocols that significantly outperforms the state-of-the-art, scales orders of magnitude faster, and robustly derives compact inductive invariants fully automatically.
DOI · arXiv

2019

Using Binary Analysis Frameworks: The Case for BAP and angr casinghino-2019-using

DOI
nfm venue entries/venues/nfm.hel