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ORCIDMohammad Saidur Rahman 0002
Person information
- affiliation: Rochester Institute of Technology, Global Cybersecurity Institute, NY, USA
Other persons with the same name
- Mohammad Saidur Rahman 0001
![[0000-0002-4024-0725]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4024-0725")
— RMIT University, School of Computing Technologies, Melbourne, Australia (and 1 more)
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Journal Articles
- 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)
Conference and Workshop Papers
- 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 - 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 - 2018
- [c1]Mohsen Imani, Mohammad Saidur Rahman, Matthew Wright:
Adversarial Traces for Website Fingerprinting Defense. CCS 2018: 2225-2227
Informal and Other Publications
- 2024
- [i7]Mohammad Saidur Rahman, Stephen DiAdamo, Miralem Mehic, Charles Fleming:
Quantum Secure Anonymous Communication Networks. CoRR abs/2405.06126 (2024) - 2022
- [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) - 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) - 2019
- [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)
Coauthor Index
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