Using Large-Scale Anomaly Detection on Code to Improve Kotlin Compiler.
Timofey BryksinVictor PetukhovIlya AlexinStanislav PrikhodkoAlexey ShpilmanVladimir KovalenkoNikita PovarovPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- computer security
- network traffic
- intrusion detection system
- unsupervised anomaly detection
- behavior analysis
- network anomaly detection
- detecting anomalous
- code generation
- unsupervised learning
- active learning
- malware detection
- computer vision
- network security
- probabilistic model
- hidden markov models
- object recognition
- detect anomalies
- network intrusion
- genetic algorithm