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Matthew Wright 0001
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Publications
- 2023
- [c61]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
- [c59]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 - 2021
- [j32]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) - [j31]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) - [c55]Jack Hyland, Conrad Schneggenburger, Nick Lim, Jake Ruud, Nate Mathews, Matthew Wright:
What a SHAME: Smart Assistant Voice Command Fingerprinting Utilizing Deep Learning. WPES@CCS 2021: 237-243 - 2020
- [j29]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) - 2019
- [c50]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 - [c47]Nate Mathews, Mohammad Saidur Rahman, Matthew Wright:
Poster: Evaluating Security Metrics for Website Fingerprinting. CCS 2019: 2625-2627 - [c46]Mohammad Saidur Rahman, Nate Mathews, Matthew Wright:
Poster: Video Fingerprinting in Tor. CCS 2019: 2629-2631 - [i18]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) - [i17]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)
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