Deep anomaly detection with self-supervised learning and adversarial training.
Xianchao ZhangJie MuXiaotong ZhangHan LiuLinlin ZongYuangang LiPublished in: Pattern Recognit. (2022)
Keyphrases
- anomaly detection
- connectionist systems
- learning process
- anomalous behavior
- deep architectures
- unsupervised learning
- detecting anomalies
- network traffic
- behavior analysis
- learning algorithm
- reinforcement learning
- intrusion detection
- unsupervised anomaly detection
- learning problems
- supervised learning
- training data
- network intrusion detection
- malware detection
- intrusion detection system
- face recognition
- machine learning