Rahul Yumlembam

According to our database, Rahul Yumlembam authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Detection of AI Generated Images Using Combined Uncertainty Measures and Particle Swarm Optimised Rejection Mechanism.

Rahul Yumlembam, Biju Issac, Nauman Aslam, Eaby Kollonoor Babu, Josh Collyer, Fraser Kennedy

CoRR, December, 2025

Insider Threat Detection Using GCN and Bi-LSTM with Explicit and Implicit Graph Representations.

Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang, Deepa Krishnan

CoRR, December, 2025

Enhancing decision-making in windows PE malware classification during dataset shifts with uncertainty estimation.

Rahul Yumlembam, Biju Issac, Seibu Mary Jacob

Knowl. Based Syst., 2025

Explainable and Uncertainty Aware AI-Based Ransomware Detection.

Henry Kabuye, Biju Issac, Rahul Yumlembam, Jeyamohan Neera

IEEE Access, 2025

2024

Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers.

Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang

Inf. Fusion, 2024

2023

IoT-Based Android Malware Detection Using Graph Neural Network With Adversarial Defense.

Rahul Yumlembam, Biju Issac, Seibu Mary Jacob, Longzhi Yang

IEEE Internet Things J., May, 2023

Android Malware Classification and Optimisation Based on BM25 Score of Android API.

Rahul Yumlembam, Biju Issac, Longzhi Yang, Seibu Mary Jacob

Proceedings of the IEEE INFOCOM 2023, 2023