5 papers
Bridging Code Property Graphs and Language Models for Program Analysis
Ahmed Lekssays
Large Language Models (LLMs) face critical challenges when analyzing security vulnerabilities in real world codebases: token limits prevent loading entire repositories, code embedd…
From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction
Ahmed Lekssays, Husrev Taha Sencar, Ting Yu
Sharing methods of attack and their effectiveness is a cornerstone of building robust defensive systems. Threat analysis reports, produced by various individuals and organizations,…
TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text
Ahmed Lekssays, Utsav Shukla, Husrev Taha Sencar +1
Accurately identifying adversarial techniques in security texts is critical for effective cyber defense. However, existing methods face a fundamental trade-off: they either rely on…
StructTransform: A Scalable Attack Surface for Safety-Aligned Large Language Models
Shehel Yoosuf, Temoor Ali, Ahmed Lekssays +2
In this work, we present a series of structure transformation attacks on LLM alignment, where we encode natural language intent using diverse syntax spaces, ranging from simple str…
Semantic Ranking for Automated Adversarial Technique Annotation in Security Text
Udesh Kumarasinghe, Ahmed Lekssays, Husrev Taha Sencar +3
We introduce a new method for extracting structured threat behaviors from threat intelligence text. Our method is based on a multi-stage ranking architecture that allows jointly op…