7 citations · 9 across the 5 of their papers we have counts for
5 papers
SelfOp: An Optimization Algorithm for Self-Improving Security Agents
Saad Ullah, Yigitcan Kaya, Christopher Kruegel +2
LLM agents are increasingly used for security tasks: vulnerability discovery, exploit reproduction, and patch generation. Improving them at the model level demands expert demonstra…
Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis
Rohan Kumar, Jason Li, Zongshun Zhang +3
As the modern microservice architecture for cloud applications grows in popularity, cloud services are becoming increasingly complex and more vulnerable to misconfiguration and sof…
From CVE Entries to Verifiable Exploits: An Automated Multi-Agent Framework for Reproducing CVEs
Saad Ullah, Praneeth Balasubramanian, Wenbo Guo +5
High-quality datasets of real-world vulnerabilities and their corresponding verifiable exploits are crucial resources in software security research. Yet such resources remain scarc…
An Online Probabilistic Distributed Tracing System
M. Toslali, S. Qasim, S. Parthasarathy +5
Distributed tracing has become a fundamental tool for diagnosing performance issues in the cloud by recording causally ordered, end-to-end workflows of request executions. However,…
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks
Saad Ullah, Mingji Han, Saurabh Pujar +3
Large Language Models (LLMs) have been suggested for use in automated vulnerability repair, but benchmarks showing they can consistently identify security-related bugs are lacking.…