4 citations · 4 across the 3 of their papers we have counts for
3 papers
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
Yuuki Yamanaka, Tomokatsu Takahashi, Takuya Minami +1
System logs are some of the most important information for the maintenance of software systems, which have become larger and more complex in recent years. The goal of log-based ano…
ARDIR: Improving Robustness using Knowledge Distillation of Internal Representation
Tomokatsu Takahashi, Masanori Yamada, Yuuki Yamanaka +1
Adversarial training is the most promising method for learning robust models against adversarial examples. A recent study has shown that knowledge distillation between the same arc…
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression
Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata +4
Adversarial training is actively studied for learning robust models against adversarial examples. A recent study finds that adversarially trained models degenerate generalization p…