Model Size and Adversarial Robustness in Llama3 and Codestral on Code Weakness Taxonomies

Abstract

Abstract: This report synthesises findings from 15 peer-reviewed papers addressing the following research question: What is the correlation between model size and robustness against adversarial code perturbations when evaluating Llama3 and Codestral on common weakness taxonomies. 0 claims were extracted from source literature; 0 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 5.2/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

What is the correlation between model size and robustness against adversarial code perturbations when evaluating Llama3 and Codestral on common weakness taxonomies?

Verification Level

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance