Mohd Saqib

11 papers A* 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
PAC-X: Fuzzy Explainable AI for Multiclass Malware Detection.
IEEE Trans. Fuzzy Syst.
Mohd Saqib, Benjamin C. M. Fung, Philippe Charland
2025 J jnl
Deep-transfer learning inspired natural language processing system for software requirements classification.
Knowl. Inf. Syst.
Mohd Saqib, Mohd Mustaqeem, Md Saquib Jawed, Alsolami Abdulaziz, Anish Khan, Jeeshan Khan
2025 — conf
MalGPT: A Generative Explainable Model for Malware Binaries.
ECML/PKDD (4)
Mohd Saqib, Benjamin C. M. Fung, Steven H. H. Ding, Philippe Charland
2025 J jnl
Optimizing support vector regression using grey wolf optimizer for enhancing energy efficiency and building prototype architecture.
Clust. Comput.
Mohd Sakib, Shahnawaz Ahmad, Khalid Anwar, Mohd Saqib
2024 J jnl
A Comprehensive Analysis of Explainable AI for Malware Hunting.
ACM Comput. Surv.
Mohd Saqib, Samaneh Mahdavifar, Benjamin C. M. Fung, Philippe Charland
2024 — conf
BETAC: Bidirectional Encoder Transformer for Assembly Code Function Name Recovery.
DRCN
Guillaume Breyton, Mohd Saqib, Benjamin C. M. Fung, Philippe Charland
2024 A* conf
GAGE: Genetic Algorithm-Based Graph Explainer for Malware Analysis.
ICDE
Mohd Saqib, Benjamin C. M. Fung, Philippe Charland, Andrew Walenstein
2024 — conf
VulEXplaineR: XAI for Vulnerability Detection on Assembly Code.
ECML/PKDD (9)
Samaneh Mahdavifar, Mohd Saqib, Benjamin C. M. Fung, Philippe Charland, Andrew Walenstein
2023 J jnl
A 6.7 GHz, 89.33 μW Power and 81.26% Tuning Range Dual Input Ring VCO with PMOS Varactor.
J. Circuits Syst. Comput.
Mohd Saqib, Subodh Wairya, Anurag Yadav
2021 J jnl
Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model.
Appl. Intell.
Mohd Saqib
2021 J jnl
Principal component based support vector machine (PC-SVM): a hybrid technique for software defect detection.
Clust. Comput.
Mohd Mustaqeem, Mohd Saqib