Alyse M. Jones

According to our database, Alyse M. Jones authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Vulnerabilities Caused by Metric-based Policies in Reinforcement Learning Based Covert Communication Under Steering Attack.

Alyse M. Jones, Maice Costa

Proceedings of the 2025 ACM Workshop on Wireless Security and Machine Learning, 2025

Demo: CLOUD-D RF - Cloud-based Distributed Spectrum Sensing with Heterogeneous Hardware Testbed.

Rami Ghaleb, Jason Cox, Joseph Risi, Alyse M. Jones

Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

Demonstration of the Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications.

Sriniketh Vangaru, Daniel Rosen, Dylan Green, Raphael Rodriguez, Maxwell Wiecek, Amos Johnson, Alyse M. Jones, William C. Headley

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications.

Sriniketh Vangaru, Daniel Rosen, Dylan Green, Raphael Rodriguez, Maxwell Wiecek, Amos Johnson, Alyse M. Jones, William C. Headley

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024

CLOUD-D RF: Cloud-based Distributed Radio Frequency Heterogeneous Spectrum Sensing.

Dylan Green, Caleb McIrvin, River Thaboun, Cora Wemlinger, Joseph Risi, Alyse M. Jones, Maymoonah Toubeh, William C. Headley

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

A Framing of Eavesdropper Policy Manipulation Attacks on RL-enabled Wireless Systems.

Alyse M. Jones, Harpreet S. Dhillon, William C. Headley

Proceedings of the IEEE Globecom Workshops 2024, 2024

2023

Demoing the RFRL Gym: A Reinforcement Learning Testbed for Wireless Communications.

Alyse M. Jones, Amos Johnson, William C. Headley

Proceedings of the IEEE Military Communications Conference, 2023

RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications.

Daniel Rosen, Illa Rochez, Caleb McIrvin, Joshua Lee, Kevin D'Alessandro, Max Wiecek, Nhan Hoang, Ramzy Saffarini, Sam Philips, Vanessa Jones, Will Ivey, Zavier Harris-Smart, Zavion Harris-Smart, Zayden Chin, Amos Johnson, Alyse M. Jones, William C. Headley

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Considerations of Reinforcement Learning within Real-Time Wireless Communication Systems.

Alyse M. Jones, William C. Headley

Proceedings of the IEEE Military Communications Conference, 2022