DeNASA: Destination-Naive AS-Awareness in Anonymous Communications. - Armon Barton; Matthew Wright 001 (Proc. Priv. Enhancing Technol., 2016)

Forming Guard Sets using AS Relationships. - Mohsen Imani; Armon Barton; Matthew Wright 001 (CoRR, 2017)

Towards Predicting Efficient and Anonymous Tor Circuits. - Armon Barton; Matthew Wright 001; Jiang Ming 002; Mohsen Imani (USENIX Security Symposium, 2018)

Guard Sets in Tor using AS Relationships. - Mohsen Imani; Armon Barton; Matthew Wright 001 (Proc. Priv. Enhancing Technol., 2018)

Optimizing Naval Movement Using Deep Reinforcement Learning. - Joseph Coble; Armon Barton; Christian Darken; Scotty Black (ICMLA, 2023)

Exploring the Capabilities and Limitations of Video Stream Fingerprinting. - Timothy Walsh 002; Trevor Thomas; Armon Barton (SP (Workshops), 2024)

Forming Adversarial Example Attacks Against Deep Neural Networks With Reinforcement Learning. - Matthew Akers; Armon Barton (Computer, 2024)

Improved Open-World Fingerprinting Increases Threat to Streaming Video Privacy but Realistic Scenarios Remain Difficult. - Timothy Walsh 002; Armon Barton; Mathias Kölsch (Proc. Priv. Enhancing Technol., 2025)

Defending Against Deep Learning-Based Traffic Fingerprinting Attacks With Adversarial Examples. - Blake Hayden; Timothy Walsh 002; Armon Barton (ACM Trans. Priv. Secur., 2025)

GTS Attack: Finding Adversarial Examples With Greedy Tree Search. - Christopher Clark; Armon Barton (Computer, 2025)