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ORCIDMohammad Saidur Rahman 0002
Person information
- affiliation: University of Texas at El Paso, Department of Computer Science, TX, USA
- affiliation (former): Rochester Institute of Technology, Global Cybersecurity Institute, NY, USA
Other persons with the same name
- Mohammad Saidur Rahman
- Mohammad Saidur Rahman 0001
![[0000-0002-4024-0725]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-4024-0725")
— RMIT University, School of Computing Technologies, Melbourne, Australia (and 1 more)
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2020 – today
- 2026
[j5]Viviana Cadena, Arifur Rahman Khan, Miralem Mehic, Jesus Rafael Lopez, Saeefa Rubaiyet Nowmi, Samee U. Khan, Mohammad Saidur Rahman:
Experimental Design and Performance Simulation of Core Components for BBM92 Entanglement-Based Quantum Key Distribution. IEEE Internet Comput. 30(2): 35-44 (2026)- [j4]Armon Barton, Matthew Wright, Shaikh Akib Shahriyar, Edgar W. Jatho III, Mohammad Saidur Rahman, Kantha Girish Gangadhara, Jiang Ming:
PadNet: Defending Neural Networks Against Adversarial Examples. ACM Trans. Priv. Secur. 29(2): 17:1-17:26 (2026) - [i16]Md Mahmuduzzaman Kamol, Jesus Rafael Lopez, Saeefa Rubaiyet Nowmi, Emilia Rivas, Md Ahsanul Haque, Edward Raff, Aritran Piplai, Mohammad Saidur Rahman:
McNdroid: A Longitudinal Multimodal Benchmark for Robust Drift Detection in Android Malware. CoRR abs/2605.06894 (2026) - [i15]Zahra Asadi, Haeseung Jeon, Sohyun Han, Md Mahmuduzzaman Kamol, Se Eun Oh, Mohammad Saidur Rahman:
FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis. CoRR abs/2605.09664 (2026) - 2025
- [c14]Jimin Park, AHyun Ji, Minji Park, Mohammad Saidur Rahman, Se Eun Oh:
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification. AAAI 2025: 658-666 - [c13]Mohammad Saidur Rahman, Scott E. Coull, Qi Yu, Matthew Wright:
MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay. CAMLIS 2025: 265-291 - [c12]Jesus Rafael Lopez, Saeefa Rubaiyet Nowmi, Viviana Cadena, Mohammad Saidur Rahman:
Towards Quantum Machine Learning for Malicious Code Analysis. QCE 2025: 211-216 - [c11]Saeefa Rubaiyet Nowmi, Jesus Rafael Lopez, Md Mahmudul Alam Imon, Viviana Cadena, Shahrooz Pouryousef, Mohammad Saidur Rahman:
Towards Robust Quantum Machine Learning. QCE 2025: 632-633 - [c10]Jesus Rafael Lopez, Viviana Cadena, Mohammad Saidur Rahman:
Evaluating Post-Quantum Cryptographic Algorithms on Resource-Constrained Devices. QCE 2025: 655-656 - [c9]Jesus Rafael Lopez, Viviana Cadena, Mohammad Saidur Rahman:
Evaluating Post-Quantum Cryptographic Algorithms on Resource-Constrained Devices. QCE 2025: 918-925 - [i14]Jimin Park, AHyun Ji, Minji Park, Mohammad Saidur Rahman, Se Eun Oh:
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification. CoRR abs/2501.01110 (2025) - [i13]Mohammad Saidur Rahman, Scott E. Coull, Qi Yu, Matthew Wright:
MADAR: Efficient Continual Learning for Malware Analysis with Diversity-Aware Replay. CoRR abs/2502.05760 (2025) - [i12]Md Ahsanul Haque, Ismail Hossain, Md Mahmuduzzaman Kamol, Md Jahangir Alam, Suresh Kumar Amalapuram, Sajedul Talukder, Mohammad Saidur Rahman:
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis. CoRR abs/2505.18551 (2025) - [i11]Jesus Rafael Lopez, Viviana Cadena, Mohammad Saidur Rahman:
Evaluating Post-Quantum Cryptographic Algorithms on Resource-Constrained Devices. CoRR abs/2507.08312 (2025) - [i10]Jesus Rafael Lopez, Saeefa Rubaiyet Nowmi, Viviana Cadena, Mohammad Saidur Rahman:
Towards Quantum Machine Learning for Malicious Code Analysis. CoRR abs/2508.19381 (2025) - [i9]Md Ahsanul Haque, Md Mahmuduzzaman Kamol, Ismail Hossain, Suresh Kumar Amalapuram, Vladik Kreinovich, Mohammad Saidur Rahman:
CITADEL: A Semi-Supervised Active Learning Framework for Malware Detection Under Continuous Distribution Drift. CoRR abs/2511.11979 (2025) - [i8]Saeefa Rubaiyet Nowmi, Jesus Rafael Lopez, Md Mahmudul Alam Imon, Shahrooz Pouryousef, Mohammad Saidur Rahman:
Critical Evaluation of Quantum Machine Learning for Adversarial Robustness. CoRR abs/2511.14989 (2025) - 2024
- [i7]Mohammad Saidur Rahman, Stephen DiAdamo, Miralem Mehic, Charles Fleming:
Quantum Secure Anonymous Communication Networks. CoRR abs/2405.06126 (2024) - 2023
- [c8]Nate Mathews, James K. Holland, Se Eun Oh, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright:
SoK: A Critical Evaluation of Efficient Website Fingerprinting Defenses. SP 2023: 969-986 - 2022
- [c7]Mohammad Saidur Rahman, Scott E. Coull, Matthew Wright:
On the Limitations of Continual Learning for Malware Classification. CoLLAs 2022: 564-582 - [c6]Se Eun Oh, Taiji Yang, Nate Mathews, James K. Holland, Mohammad Saidur Rahman, Nicholas Hopper, Matthew Wright:
DeepCoFFEA: Improved Flow Correlation Attacks on Tor via Metric Learning and Amplification. SP 2022: 1915-1932 - [c5]Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully:
Transformers for End-to-End InfoSec Tasks: A Feasibility Study. WoRMA@AsiaCCS 2022: 21-31 - [i6]Mohammad Saidur Rahman, Scott E. Coull, Matthew Wright:
On the Limitations of Continual Learning for Malware Classification. CoRR abs/2208.06568 (2022) - [i5]Ethan M. Rudd, Mohammad Saidur Rahman, Philip Tully:
Transformers for End-to-End InfoSec Tasks: A Feasibility Study. CoRR abs/2212.02666 (2022) - 2021
- [j3]Se Eun Oh, Nate Mathews, Mohammad Saidur Rahman, Matthew Wright, Nicholas Hopper:
GANDaLF: GAN for Data-Limited Fingerprinting. Proc. Priv. Enhancing Technol. 2021(2): 305-322 (2021) - [j2]Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, Matthew Wright:
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks With Adversarial Traces. IEEE Trans. Inf. Forensics Secur. 16: 1594-1609 (2021) - 2020
- [j1]Mohammad Saidur Rahman, Payap Sirinam, Nate Mathews, Kantha Girish Gangadhara, Matthew Wright:
Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks. Proc. Priv. Enhancing Technol. 2020(3): 5-24 (2020) - [i4]Mohammad Saidur Rahman:
Optimizing Smart Grid Aggregators and Measuring Degree of Privacy in a Distributed Trust Based Anonymous Aggregation System. CoRR abs/2006.06070 (2020) - [i3]Perry Deng, Mohammad Saidur Rahman, Matthew Wright:
Detecting Adversarial Patches with Class Conditional Reconstruction Networks. CoRR abs/2011.05850 (2020)
2010 – 2019
- 2019
- [c4]Payap Sirinam, Nate Mathews, Mohammad Saidur Rahman, Matthew Wright:
Triplet Fingerprinting: More Practical and Portable Website Fingerprinting with N-shot Learning. CCS 2019: 1131-1148 - [c3]Nate Mathews, Mohammad Saidur Rahman, Matthew Wright:
Poster: Evaluating Security Metrics for Website Fingerprinting. CCS 2019: 2625-2627 - [c2]Mohammad Saidur Rahman, Nate Mathews, Matthew Wright:
Poster: Video Fingerprinting in Tor. CCS 2019: 2629-2631 - [i2]Mohammad Saidur Rahman, Payap Sirinam, Nate Mathews, Kantha Girish Gangadhara, Matthew Wright:
Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks. CoRR abs/1902.06421 (2019) - [i1]Mohsen Imani, Mohammad Saidur Rahman, Nate Mathews, Aneesh Yogesh Joshi, Matthew Wright:
Adv-DWF: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces. CoRR abs/1902.06626 (2019) - 2018
- [c1]Mohsen Imani, Mohammad Saidur Rahman, Matthew Wright:
Adversarial Traces for Website Fingerprinting Defense. CCS 2018: 2225-2227
Coauthor Index
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last updated on 2026-06-12 21:20 CEST by the dblp team
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