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.CV2025
Filtered-ViT: A Robust Defense Against Multiple Adversarial Patch Attacks
Aja Khanal, Ahmed Faid, Apurva Narayan
Deep learning vision systems are increasingly deployed in safety-critical domains such as healthcare, yet they remain vulnerable to small adversarial patches that can trigger miscl…