10 papers
An Approach for Embedding-Guided Function Reuse Detection in Embedded C Software
A A Talha Talukder, Omar Alam, Akramul Azim
Reusing embedded software functions across products is economically valuable but technically difficult: the same functionality implemented for two different microcontroller platfor…
FedChronos: Federated Fine-Tuning of Time-Series Foundation Models for Privacy-Preserving Commodity Price Forecasting
Amit Sharma, Nitin Auluck, Akramul Azim
Time-series foundation models (TSFMs) such as Chronos have demonstrated strong forecasting capabilities across domains, yet adapting them to institutionally fragmented settings, wh…
An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems
Md Hasan Saju, Maher Muhtadi, Akramul Azim
The rapid advancement of Large Language Models (LLMs) presents new opportunities for automated software vulnerability detection, a crucial task in securing modern codebases. This p…
SynRAG: A Large Language Model Framework for Executable Query Generation in Heterogeneous SIEM System
Md Hasan Saju, Austin Page, Akramul Azim +3
Security Information and Event Management (SIEM) systems are essential for large enterprises to monitor their IT infrastructure by ingesting and analyzing millions of logs and even…
From HNSW to Information-Theoretic Binarization: Rethinking the Architecture of Scalable Vector Search
Seyed Moein Abtahi, Majid Fekri, Tara Khani +1
Modern semantic search and retrieval-augmented generation (RAG) systems rely predominantly on in-memory approximate nearest neighbor (ANN) indexes over high-precision floating-poin…
Securing LLM-Generated Embedded Firmware through AI Agent-Driven Validation and Patching
Seyed Moein Abtahi, Akramul Azim
Large Language Models (LLMs) show promise in generating firmware for embedded systems, but often introduce security flaws and fail to meet real-time performance constraints. This p…