Lucas Zavalía

dblp:338/8678 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0003-0549-2238ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 50% Operating systems · 38% Program analysis · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Operating systems › extensible operating systems › kernel extensibility
eBPF
0.912025
A Flow-Sensitive Refinement Type System for Verifying eBPF Programs · Proc. ACM Program. Lang. 2025
Programming languages and type systems › type systems
refinement types
0.912025
A Flow-Sensitive Refinement Type System for Verifying eBPF Programs · Proc. ACM Program. Lang. 2025
Program analysis › data flow analysis
flow-sensitive analysis
0.312025
A Flow-Sensitive Refinement Type System for Verifying eBPF Programs · Proc. ACM Program. Lang. 2025
Programming languages and type systems
type inference
0.312025
A Flow-Sensitive Refinement Type System for Verifying eBPF Programs · Proc. ACM Program. Lang. 2025

Methods — techniques the papers use, named apart from their topics

type inference · 0.9proof certificate checking · 0.9
YearPublicationVenuePosition
2025 A Flow-Sensitive Refinement Type System for Verifying eBPF Programs
abstract
The Extended Berkeley Packet Filter ( eBPF ) subsystem within an operating system’s kernel enables userspace programs to extend kernel functionality dynamically. Due to the security risks associated with runtime modification of the operating system, eBPF requires all programs to be verified before deploying them within the kernel. Existing approaches to eBPF verification are monolithic, requiring their entire analysis to be done in a secure environment, resulting in the need for extensive trusted codebases. We present a typebased verification approach that automatically infers proof certificates in userspace, thus reducing the size and complexity of the trusted codebase. At the same time, only the proof-checking component needs to be deployed in a secure environment. Moreover, compared to previous techniques, our type system enhances the debuggability of the programs for users through ergonomic type annotations when verification fails. We implemented our type inference algorithm in a tool called VeRefine and evaluated it against an existing eBPF verifier, Prevail . VeRefine outperformed Prevail on most of the industrial benchmarks.
Lucas Zavalía, Arie Gurfinkel, Jorge A. Navas, Grigory Fedyukovich
Proc. ACM Program. Lang.2
2023 Solving Constrained Horn Clauses over Algebraic Data Types
Lucas Zavalía, Lidiia Chernigovskaia, Grigory Fedyukovich
VMCAI1