Load forecasting with adversarial attacks in power systems using DeepForge. - Xingyu Zhou 010; Yi Li; Carlos A. Barreto; Péter Völgyesi; Xenofon D. Koutsoukos (HotSoS, 2019)

Overcoming Stealthy Adversarial Attacks on Power Grid Load Predictions Through Dynamic Data Repair. - Xingyu Zhou 010; Robert Canady; Yi Li; Xenofon D. Koutsoukos; Aniruddha Gokhale (DDDAS, 2020)

Cost-effective Hardware Accelerator Recommendation for Edge Computing. - Xingyu Zhou 010; Robert Canady; Shunxing Bao; Aniruddha Gokhale (HotEdge, 2020)

Applying DDDAS Principles for Realizing Optimized and Robust Deep Learning Models at the Edge. - Robert Canady; Xingyu Zhou 010; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (DDDAS, 2022)

Guarding Against Universal Adversarial Perturbations in Data-driven Cloud/Edge Services. - Xingyu Zhou 010; Robert Canady; Yi Li; Shunxing Bao; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (IC2E, 2022)

Adversarially Robust Edge-Based Object Detection for Assuredly Autonomous Systems. - Robert Canady; Xingyu Zhou 010; Yogesh D. Barve; Daniel Balasubramanian; Aniruddha Gokhale (ICAA, 2022)