A review of 80 studies from 2021-2025 on transformer-based software vulnerability detection identifies trends in architectures, datasets, and challenges such as data imbalance and interpretability.
Harnessing the power of llms in source code vulnerability detection, in: MILCOM 2024-2024 IEEE Military Communications Conference (MILCOM), IEEE
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A systematic literature Review for Transformer-based Software Vulnerability detection
A review of 80 studies from 2021-2025 on transformer-based software vulnerability detection identifies trends in architectures, datasets, and challenges such as data imbalance and interpretability.