Adversarial code comments dataset for LLM reviewers
30 vulnerable Python functions, 12 comment strategies, and 3,360 recorded trials from four studies.
RESEARCH NOTES
Short notes from my experiments on LLM-based code security review. Posts link to their preprints and datasets so readers can inspect the evidence and reuse the data.
30 vulnerable Python functions, 12 comment strategies, and 3,360 recorded trials from four studies.
Three local LLMs review four Python examples containing the same weak random number generator bug.
Nine misuse classes, 1,890 recorded trials, and a paired secure control set.
Why secure twins and balanced accuracy change the model ranking.
A secure 3072-bit key written as 0xC00 still caused false alarms in model review.
Browse the original blog archive at all research notes or subscribe through the RSS feed.