This paper proposes a unified dual-defense framework that jointly integrates adversarial training with a denoising autoencoder (DAE)-based filtering mechanism, specifically designed for imbalanced tabular financial data under adversarial conditions, and explicitly targets adversarial robustness in financial fraud detec...
M. Javeed, Jannatul Maua, M. Mridha et al.· Computers, Materials & C...· 0 citations
E EduGuard, a safe retrieval-augmented generation (RAG) tutoring framework for introductory programming, is presented and compared against strong baselines, suggesting safe GenAI tutoring requires not only retrieval or strong prompting, but explicit pedagogical control, evidence verification, and deployment safeguards.
S. M. Asif Hossain, Ruksat Khan Shayoni, M. F. Mridha et al.· arXiv.org· 0 citations
A stacking ensemble model with ANN and CatBoost as base classifiers and Logistic Regression as the meta-model, which demonstrated the best performance, achieving 95% accuracy, a 99.29% AUC, and balanced metrics across evaluation criteria is proposed.
Md Abrar Jahin, Saleh Akram Naife, Fatema Tuj et al.· Discover Applied Sciences· 2 citations
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