3 papers
cs.SE2026
Whitespaces Don't Lie: Feature-Driven and Embedding-Based Approaches for Detecting Machine-Generated Code
Syed Mehedi Hasan Nirob, Shamim Ehsan, Moqsadur Rahman +1
Large language models (LLMs) have made it remarkably easy to synthesize plausible source code from natural language prompts. While this accelerates software development and support…
cs.CV2026
Handcrafted Feature Fusion for Reliable Detection of AI-Generated Images
Syed Mehedi Hasan Nirob, Moqsadur Rahman, Shamim Ehsan +1
The rapid progress of generative models has enabled the creation of highly realistic synthetic images, raising concerns about authenticity and trust in digital media. Detecting suc…
quant-ph2021
Fundamental Machine Learning Routines as Quantum Algorithms on a Superconducting Quantum Computer
Sristy Sangskriti, Protik Nag, Summit Haque
The Harrow-Hassidim-Lloyd algorithm is intended for solving the system of linear equations on quantum devices. The exponential advantage of the algorithm comes with four caveats. W…