Skills Engineering CCS Paper Artifact Evaluation Guide

CCS Paper Artifact Evaluation Guide

v20260724
ccs-artifact-evaluation
This guide details the process of packaging and evaluating academic artifacts for ACM CCS conferences. It outlines the criteria for earning specific ACM badges (e.g., Functional, Reusable, Results Reproduced) by ensuring that supporting evidence—such as exploits, defenses, and measurement pipelines—is turnkey, reproducible, and rigorously documented for the review committee. It covers best practices for artifact planning, handling sensitive material, and justifying any withheld components.
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Overview

CCS Artifact Evaluation

Use this for artifact packaging around CCS. CCS runs an optional artifact-evaluation process after acceptance; passing artifacts earn ACM badges that appear on the paper's first page. Reopen the current call for artifacts for the exact badge set, submission form, and deadlines.

The ACM badge ladder

Badge What it certifies What the committee does
Artifacts Available The artifact is publicly archived with a stable identifier Confirms the artifact is retrievable and permanent
Artifacts Evaluated - Functional The artifact runs and does what the paper says Executes it against the documented steps
Artifacts Evaluated - Reusable It exceeds functional quality and others can reuse it Judges structure, documentation, and reusability
Results Reproduced The main paper results are independently reproduced Reruns experiments and checks they support the claims

Available is about archival permanence; Functional and Reusable are about quality; Results Reproduced is the highest bar and requires the committee to regenerate your headline numbers.

Artifact plan

  • Decide which claims the artifact must support: the exploit, the defense overhead, the measurement pipeline, or the protocol implementation.
  • Make the security claim turnkey: one documented command per headline result, with expected output, runtime, and the hardware assumed.
  • Anonymize nothing at this stage — artifact evaluation is post-acceptance and single-blind or open — but do pin versions, dependencies, and a container so it runs on a clean machine.
  • For dangerous artifacts (working exploits, malware, live attack tooling), gate access, document safe-handling, and follow the responsible-disclosure posture from the paper.
  • Justify anything withheld: licensing, disclosure embargo, subject safety, or premature-release risk, and offer partial, synthetic, or redacted substitutes that still let evaluators check the method.

What security evaluators open first

Claim type First artifact inspected Common failure caught
Exploit against real software The PoC and its target build instructions Target version unspecified; PoC fails to build
Defense with overhead numbers The benchmark runner and instrumented build Overhead cannot be reproduced; workload undocumented
Measurement study The collection and classification scripts Classification rule differs from the paper's prose
Cryptographic implementation Test vectors and the reference build No test vectors; outputs cannot be checked

Worked vignette: packaging a fuzzing-tool artifact

A hypothetical accepted paper presents a new fuzzer that found N bugs. For Reusable and Results Reproduced: ship a container pinning the fuzzer, the target corpus, and the seed set; document one command to reproduce a representative crash and one to rerun a bounded campaign; provide the bug list with disclosure status; and note which crashes are embargoed pending vendor patches, offering redacted reproducers for those.

Output format

[Target badges] available / functional / reusable / results-reproduced
[Contents] <code / data / container / test vectors / logs>
[Turnkey level] one-command / scripted / descriptive / weak
[Safe-handling] <gating and disclosure posture for dangerous artifacts>
[Withheld-and-justified] <what and why, with substitute offered>
[Fixes before submission] <ordered list>
Info
Category Engineering
Name ccs-artifact-evaluation
Version v20260724
Size 3.79KB
Updated At 2026-07-28
Language