Mohammad Saidur Rahman

According to our database, Mohammad Saidur Rahman authored at least 29 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

PadNet: Defending Neural Networks Against Adversarial Examples.

Armon Barton, Matthew Wright, Shaikh Akib Shahriyar, Edgar W. Jatho III, Mohammad Saidur Rahman, Kantha Girish Gangadhara, Jiang Ming

ACM Trans. Priv. Secur., May, 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

CoRR, May, 2026

McNdroid: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware.

Md Mahmuduzzaman Kamol, Jesus Rafael Lopez, Saeefa Rubaiyet Nowmi, Emilia Rivas, Md Ahsanul Haque, Edward Raff, Aritran Piplai, Mohammad Saidur Rahman

CoRR, May, 2026

Experimental Design and Performance Simulation of Core Components for BBM92 Entanglement-Based Quantum Key Distribution.

Viviana Cadena, Arifur Rahman Khan, Miralem Mehic, Jesus Rafael Lopez, Saeefa Rubaiyet Nowmi, Samee U. Khan, Mohammad Saidur Rahman

IEEE Internet Comput., 2026

TabCL: Continual Malware Classification with Tabular-Aware Generation.

Jimin Park, Haeseung Jeon, AHyun Ji, Aritran Piplai, Mohammad Saidur Rahman, Se Eun Oh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

Critical Evaluation of Quantum Machine Learning for Adversarial Robustness.

Saeefa Rubaiyet Nowmi, Jesus Rafael Lopez, Md Mahmudul Alam Imon, Shahrooz Pouryousef, Mohammad Saidur Rahman

CoRR, November, 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

CoRR, November, 2025

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

CoRR, May, 2025

MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay.

Mohammad Saidur Rahman, Scott E. Coull, Qi Yu, Matthew Wright

CoRR, February, 2025

Towards Robust Quantum Machine Learning.

Saeefa Rubaiyet Nowmi, Jesus Rafael Lopez, Md Mahmudul Alam Imon, Viviana Cadena, Shahrooz Pouryousef, Mohammad Saidur Rahman

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Towards Quantum Machine Learning for Malicious Code Analysis.

Jesus Rafael Lopez, Saeefa Rubaiyet Nowmi, Viviana Cadena, Mohammad Saidur Rahman

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Evaluating Post-Quantum Cryptographic Algorithms on Resource-Constrained Devices.

Jesus Rafael Lopez, Viviana Cadena, Mohammad Saidur Rahman

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay.

Mohammad Saidur Rahman, Scott E. Coull, Qi Yu, Matthew Wright

Proceedings of the 2025 Conference on Applied Machine Learning for Information Security (CAMLIS), 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Quantum Secure Anonymous Communication Networks.

Mohammad Saidur Rahman, Stephen DiAdamo, Miralem Mehic, Charles Fleming

CoRR, 2024

2023

SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses.

Nate Mathews, James K. Holland, Se Eun Oh, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

Transformers for End-to-End InfoSec Tasks: A Feasibility Study.

Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully

Proceedings of the WoRMA@AsiaCCS 2022: Proceedings of the 1st Workshop on Robust Malware Analysis, 2022

DeepCoFFEA: Improved Flow Correlation Attacks on Tor via Metric Learning and Amplification.

Se Eun Oh, Taiji Yang, Nate Mathews, James K. Holland, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

On the Limitations of Continual Learning for Malware Classification.

Mohammad Saidur Rahman, Scott E. Coull, Matthew Wright

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks With Adversarial Traces.

Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, Matthew Wright

IEEE Trans. Inf. Forensics Secur., 2021

GANDaLF: GAN for Data-Limited Fingerprinting.

Se Eun Oh, Nate Mathews, Mohammad Saidur Rahman, Matthew Wright, Nicholas Hopper

Proc. Priv. Enhancing Technol., 2021

2020

Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks.

Mohammad Saidur Rahman, Payap Sirinam, Nate Mathews, Kantha Girish Gangadhara, Matthew Wright

Proc. Priv. Enhancing Technol., 2020

Detecting Adversarial Patches with Class Conditional Reconstruction Networks.

Perry Deng, Mohammad Saidur Rahman, Matthew Wright

CoRR, 2020

Optimizing Smart Grid Aggregators and Measuring Degree of Privacy in a Distributed Trust Based Anonymous Aggregation System.

Mohammad Saidur Rahman

CoRR, 2020

2019

Adv-DWF: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces.

Mohsen Imani, Mohammad Saidur Rahman, Nate Mathews, Aneesh Yogesh Joshi, Matthew Wright

CoRR, 2019

Triplet Fingerprinting: More Practical and Portable Website Fingerprinting with N-shot Learning.

Payap Sirinam, Nate Mathews, Mohammad Saidur Rahman, Matthew Wright

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Poster: Video Fingerprinting in Tor.

Mohammad Saidur Rahman, Nate Mathews, Matthew Wright

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Poster: Evaluating Security Metrics for Website Fingerprinting.

Nate Mathews, Mohammad Saidur Rahman, Matthew Wright

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Adversarial Traces for Website Fingerprinting Defense.

Mohsen Imani, Mohammad Saidur Rahman, Matthew Wright

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018