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Preprints

• 2026 "FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis," Zahra Asadi, Haeseung Jeon, Sohyun Han, Md Mahmuduzzaman Kamol, Se Eun Oh, Mohammad Saidur Rahman . [ArXiv] [Code]
• 2026 "McNdroid: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware," Md Mahmuduzzaman Kamol, Jesus Lopez, Saeefa Rubaiyet Nowmi, Emilia Rivas, Md Ahsanul Haque, Edward Raff, Aritran Piplai, Mohammad Saidur Rahman . [ArXiv]
• 2025 "CITADEL: A Semi-Supervised Active Learning Framework for Malware Detection Under Continuous Distribution Drift," Md Ahsanul Haque, Md Mahmuduzzaman Kamol, Ismail Hossain, Suresh Kumar Amalapuram, Vladik Kreinovich, Mohammad Saidur Rahman . [ArXiv]

Conference Papers

• 2026 "LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis," Md Ahsanul Haque, Ismail Hossain, Md Mahmuduzzaman Kamol, Md Jahangir Alam, Suresh Kumar Amalapuram, Sajedul Talukder, Mohammad Saidur Rahman International Conference on Learning Representations (ICLR) 2026. [Paper] [Code]
• 2025 "MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay," Mohammad Saidur Rahman, Scott Coull, Qi Yu, Matthew Wright, Conference on Applied Machine Learning in Information Security (CAMLIS) 2025. [ArXiv] [Code]
• 2025 "MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification," Jimin Park, AHyun Ji, Minji Park, Mohammad Saidur Rahman, Se Eun Oh, AAAI Conference on Artificial Intelligence 2025. [Paper]
• 2022 "On the Limitations of Continual Learning for Malware Classification," Mohammad Saidur Rahman, Scott Coull, and Matthew Wright, First Conference on Lifelong Learning Agents - CoLLAs 2022. [Paper] [Video] [Code]

Related Posters

• ACSAC 2024 "MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification", Jimin Park, Minji Park, AHyun Ji, Se Eun Oh, Mohammad Saidur Rahman, The Annual Computer Security Applications Conference (ACSAC) 2024.
• S&P 2023 "Towards Continual Learning for Malware Classification", Mohammad Saidur Rahman, Scott E. Coull, Matthew Wright, IEEE Symposium on Security & Privacy (S&P) 2023.

Dissertation

• 2024 "Continual Learning for an Ever Evolving and Intelligent Malware Classification System," Mohammad Saidur Rahman Ph.D. Dissertation, Rochester Institute of Technology. [PDF]