4 papers
Curriculum-Adapted Robust Reinforcement Learning for UAV Deconfliction in Adversarial Environments
Deepak Kumar Panda, Adolfo Perrusquia, Weisi Guo
Autonomous unmanned aerial vehicles (UAVs) increasingly rely on reinforcement learning (RL) for navigation. However, global navigation satellite system (GNSS) spoofing attacks can…
Generative Adversarial Evasion and Out-of-Distribution Detection for UAV Cyber-Attacks
Deepak Kumar Panda, Weisi Guo
The growing integration of UAVs into civilian airspace underscores the need for resilient and intelligent intrusion detection systems (IDS), as traditional anomaly detection method…
Meta Policy Switching for Secure UAV Deconfliction in Adversarial Airspace
Deepak Kumar Panda, Weisi Guo
Autonomous UAV navigation using reinforcement learning (RL) is vulnerable to adversarial attacks that manipulate sensor inputs, potentially leading to unsafe behavior and mission f…
Real-Time Bayesian Detection of Drift-Evasive GNSS Spoofing in Reinforcement Learning Based UAV Deconfliction
Deepak Kumar Panda, Weisi Guo
Autonomous unmanned aerial vehicles (UAVs) rely on global navigation satellite system (GNSS) pseudorange measurements for accurate real-time localization and navigation. However, t…