4 papers
Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification
Alexander Kozachok, Ilya Latyshev, Evgeny Karpulevich +3
Background/Objectives: Dermoscopic skin-lesion classifiers lose accuracy when images arrive from a new clinic or a new device. We asked which data augmentations reduce that loss, a…
Text2DSL: LLM-Based Code Generation for Domain-Specific Languages
Alexander V. Kozachok, Alexander M. Nazimov, Shamil G. Magomedov
Domain-specific languages (DSLs) are widely used for managing operating system security policies, yet manually authoring rules in such languages demands high expertise and is error…
From CVE to CWE: Syscall-Based HIDS Generalisation
Alexander V. Kozachok, Stanislav G. Vyugov, Shamil G. Magomedov
Host intrusion detection systems (HIDS) based on system-call traces are typically trained and evaluated against individual Common Vulnerabilities and Exposures (CVE) instances. In…
Context-Aware Distillation and Ablation for Text2DSL
Alexander V. Kozachok, Alexander M. Nazimov, Shamil G. Magomedov
We extend our prior work on Text2DSL automatic generation of domain-specific language (DSL) code from natural language descriptions along two complementary axes. First, we replace…