An Investigation of Quality Issues in Vulnerability Detection Datasets.
Yuejun GuoSeifeddine BettaiebPublished in: EuroS&P Workshops (2023)
Keyphrases
- object detection
- high quality
- detection algorithm
- benchmark datasets
- automatic detection
- detection accuracy
- detection method
- data sets
- change detection
- uci machine learning repository
- training dataset
- false alarms
- quality assessment
- key issues
- detection rate
- database
- false positives
- real world
- data quality
- user satisfaction
- anomaly detection
- case study
- higher quality
- artificial intelligence
- learning algorithm
- detection scheme
- data mining processes