Insights on Using Deep Learning to Spoof Inertial Measurement Units for Stealthy Attacks on UAVs. - Kyo Hyun Kim; Denizkhan Kara; Vineetha Paruchuri; Sibin Mohan; Greg Kimberly; Denis Osipychev; Jae H. Kim; Josh D. Eckhardt; Miroslav Pajic (MILCOM, 2022)

TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-Limited IoT Applications. - Deepti Kalasapura; Jinyang Li 004; Shengzhong Liu; Yizhuo Chen; Ruijie Wang 004; Tarek F. Abdelzaher; Matthew Caesar 001; Joydeep Bhattacharyya; Jae Kim; Guijun Wang; Greg Kimberly; Josh D. Eckhardt; et al. (ICCCN, 2023)

Towards Effective Swarm-Based GPS Spoofing Detection in Disadvantaged Platforms. - Enguang Fan; Anfeng Peng; Matthew Caesar 001; Jae Kim; Josh D. Eckhardt; Greg Kimberly; Denis Osipychev (MILCOM, 2023)

Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration. - Jinyang Li 004; Yizhuo Chen; Tomoyoshi Kimura; Tianshi Wang; Ruijie Wang 004; Denizhan Kara; Yigong Hu; Li Wu; Walid A. Hanafy; Abel Souza; Prashant J. Shenoy; Maggie B. Wigness; et al. (ICCCN, 2024)

Obstacle-Aware UAV Swarm Deployment for User Coverage Using Deep Reinforcement Learning. - Shilan He; Kyo Hyun Kim; Matthew Caesar 001; Jae Kim; Josh D. Eckhardt; Greg Kimberly (MILCOM, 2024)

Requiem for a drone: a machine-learning based framework for stealthy attacks against unmanned autonomous vehicles. - Kyo Hyun Kim; Denizhan Kara; Vineetha Paruchuri; Sibin Mohan; Greg Kimberly; Jae Kim; Josh D. Eckhardt (CoRR, 2024)