3 papers
cs.MA2026
State Machine Guided Multi-Relational Synthetic Data from Logs for Anomaly Detection
Aja Khanal, Apurva Narayan
Software systems generate massive unstructured logs that record execution behavior, failures, and interactions across components, yet existing log anomaly detection methods treat t…
cs.MA2026
Agents of Diffusion: Enhancing Diffusion Language Models with Multi-Agent Reinforcement Learning for Structured Data Generation (Extended Version)
Aja Khanal, Kaushik T. Ranade, Rishabh Agrawal +2
Generating high-quality structured data such as JSON records, remains a fundamental challenge for large language models (LLMs), particularly when semantic richness must coexist wit…
cs.CR2025
STAF: Leveraging LLMs for Automated Attack Tree-Based Security Test Generation
Tanmay Khule, Stefan Marksteiner, Jose Alguindigue +3
In modern automotive development, security testing is critical for safeguarding systems against increasingly advanced threats. Attack trees are widely used to systematically repres…