3 papers
cs.LG2025
Learning Joint Embeddings of Function and Process Call Graphs for Malware Detection
Kartikeya Aneja, Nagender Aneja, Murat Kantarcioglu
Software systems can be represented as graphs, capturing dependencies among functions and processes. An interesting aspect of software systems is that they can be represented as di…
cs.CR2025
LLM-driven Provenance Forensics for Threat Investigation and Detection
Kunal Mukherjee, Murat Kantarcioglu
We introduce PROVSEEK, an LLM-powered agentic framework for automated provenance-driven forensic analysis and threat intelligence extraction. PROVSEEK employs specialized toolchain…
cs.LG2025
PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes
Tianhao Wang, Simon Klancher, Kunal Mukherjee +4
The rise of graph-structured data has driven interest in graph learning and synthetic data generation. While successful in text and image domains, synthetic graph generation remain…