Search Results for author:
Found 3 papers, 0 papers with code
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
In this paper, we propose LogELECTRA, a new log anomaly detection model that analyzes a single line of log messages more deeply on the basis of self-supervised anomaly detection.
Self-Supervised Anomaly Detection
Supervised Anomaly Detection
ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation
In addition to the output of the teacher model, ARDIR uses the internal representation of the teacher model as a label for adversarial training.
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression
We theoretically and experimentally confirm that the weight loss landscape becomes sharper as the magnitude of the noise of adversarial training increases in the linear logistic regression model.
