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2020 – today
- 2024
- [i6]Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen:
Discovering Command and Control Channels Using Reinforcement Learning. CoRR abs/2401.07154 (2024) - [i5]Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen:
Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning. CoRR abs/2402.09200 (2024) - [i4]Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguinaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen:
Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. CoRR abs/2406.17576 (2024) - 2023
- [c5]Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen:
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CAMLIS 2023: 77-90 - [c4]David Radke, Jaxin Lu, Jackson Woloschuk, Tin Le, Daniel Radke, Charlie Liu, Tim Brecht:
Analyzing Passing Metrics in Ice Hockey using Puck and Player Tracking Data. LINHAC 2023: 25-39 - [i3]Riddam Rishu, Akshay Kakkar, Cheng Wang
, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen:
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CoRR abs/2310.03667 (2023) - 2022
- [c3]Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark, Christopher Redino:
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. COINS 2022: 1-8 - [c2]Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang
, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen:
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. ICMLA 2022: 1350-1357 - [c1]David Radke, Tim Brecht, Daniel Radke:
Identifying Completed Pass Types and Improving Passing Lane Models. LINHAC 2022: 71-86 - [i2]Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen:
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. CoRR abs/2211.03027 (2022) - 2021
- [i1]Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark:
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. CoRR abs/2108.07124 (2021) - 2020
- [j1]David Radke, Daniel Radke, John Radke:
Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning. Remote. Sens. 12(22): 3797 (2020)
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