3 papers
cs.CR2026
CITADEL: A Semi-Supervised Active Learning Framework for Malware Detection Under Continuous Distribution Drift
Md Ahsanul Haque, Md Mahmuduzzaman Kamol, Suresh Kumar Amalapuram +2
Android malware detection systems suffer severe performance degradation over time due to concept drift caused by evolving malicious and benign app behaviors. Although recent method…
cs.CV2026
Exploring Adversarial Watermarking in Transformer-Based Models: Transferability and Robustness Against Defense Mechanism for Medical Images
Rifat Sadik, Tanvir Rahman, Arpan Bhattacharjee +4
Deep learning models have shown remarkable success in dermatological image analysis, offering potential for automated skin disease diagnosis. Previously, convolutional neural netwo…
math.HO2024
Navigating Epidemic Mathematics: Exploring Tools for Mathematical Modelling in Biology
Pabel Shahrear, Md. Shahedul Islam, Md. Abu Bakkar +2
The ever-changing world of disease study heavily relies on mathematical models. They are key in finding and controlling infectious diseases. We aim to explore these mathematical to…