2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SE2026
Leveraging Large Language Models to Obscure Code Stylometry: A Comparative Study of GPT-3.5 and GPT-4
Saman Pordanesh, Benjamin Tan
In the rapidly evolving field of software development, code stylometry analyzing unique stylistic signatures of programmers plays a crit-ical role in authorship attribution and cyb…
cs.LG2025
Hilbert Neural Operator: Operator Learning in the Analytic Signal Domain
Saman Pordanesh, Pejman Shahsavari, Hossein Ghadjari
Neural operators have emerged as a powerful, data-driven paradigm for learning solution operators of partial differential equations (PDEs). State-of-the-art architectures, such as…
cs.SE2024★ 2 cited
Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering
Saman Pordanesh, Benjamin Tan
This study investigates the capabilities of Large Language Models (LLMs), specifically GPT-4, in the context of Binary Reverse Engineering (RE). Employing a structured experimental…