Nate Mathews

According to our database, Nate Mathews authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Tracing the Chain: Deep Learning for Stepping-Stone Intrusion Detection.

Nate Mathews, Nicholas Hopper, Matthew Wright

CoRR, April, 2026

RoFiRe: Robust Website Fingerprinting on Real-World Tor Traffic via Improved Augmentation and Normalization.

Haeseung Jeon, Sujin Kim, Nate Mathews, Hosung Kang, Se Eun Oh

Proceedings of the ACM Web Conference 2026, 2026

2025

Enhancing Search Privacy on Tor: Advanced Deep Keyword Fingerprinting Attacks and BurstGuard Defense.

Chaiwon Hwang, Haeseung Jeon, Jiwoo Hong, Hosung Kang, Nate Mathews, Goun Kim, Se Eun Oh

Proceedings of the 20th ACM Asia Conference on Computer and Communications Security, 2025

2024

Laserbeak: Evolving Website Fingerprinting Attacks With Attention and Multi-Channel Feature Representation.

Nate Mathews, James K. Holland, Nicholas Hopper, Matthew Wright

IEEE Trans. Inf. Forensics Secur., 2024

WhisperVoiceTrace: A Comprehensive Analysis of Voice Command Fingerprinting.

Hyojin Kim, Minji Jo, Jiwoo Hong, Hosung Kang, Nate Mathews, Se Eun Oh

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

ESPRESSO: Advanced End-to-End Flow Correlation Attacks on Tor.

Tisha Chawla, Shubh Mittal, Nate Mathews, Matthew Wright

Proceedings of the 8th Asia-Pacific Workshop on Networking, 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

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

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

What a SHAME: Smart Assistant Voice Command Fingerprinting Utilizing Deep Learning.

Jack Hyland, Conrad Schneggenburger, Nick Jin Sean Lim, Jake Ruud, Nate Mathews, Matthew Wright

Proceedings of the WPES '21: Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society, 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

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