Combined data integrity and availability attacks on state estimation in cyber-physical power grids. - Kaikai Pan; André M. H. Teixeira; Milos Cvetkovic; Peter Palensky (SmartGridComm, 2016)

Data attacks on power system state estimation: Limited adversarial knowledge vs. limited attack resources. - Kaikai Pan; André Teixeira 001; Milos Cvetkovic; Peter Palensky (IECON, 2017)

Co-simulation for cyber security analysis: Data attacks against energy management system. - Kaikai Pan; André Teixeira 001; Claudio David López; Peter Palensky (SmartGridComm, 2017)

Modelica-Supported Attack Impact Evaluation in Cyber Physical Energy System. - Kaikai Pan; Digvijay Gusain; Peter Palensky (HASE, 2019)

Cyber Risk Analysis of Combined Data Attacks Against Power System State Estimation. - Kaikai Pan; André Teixeira 001; Milos Cvetkovic; Peter Palensky (IEEE Trans. Smart Grid, 2019)

Training Strategies for Autoencoder-based Detection of False Data Injection Attacks. - Chenguang Wang 006; Kaikai Pan; Simon H. Tindemans; Peter Palensky (ISGT-Europe, 2020)

False Data Injection Attacks on Hybrid AC/HVDC Interconnected Systems With Virtual Inertia - Vulnerability, Impact and Detection. - Kaikai Pan; Elyas Rakhshani; Peter Palensky (IEEE Access, 2020)

False Data Injection Attacks on Hybrid AC/HVDC Interconnected System with Virtual Inertia - Vulnerability, Impact and Detection. - Kaikai Pan; Elyas Rakhshani; Peter Palensky (CoRR, 2020)

Detection of False Data Injection Attacks Using the Autoencoder Approach. - Chenguang Wang 006; Simon H. Tindemans; Kaikai Pan; Peter Palensky (CoRR, 2020)

Data-Assisted Model-Based Anomaly Detection for High-Fidelity Simulators of Power Systems. - Kaikai Pan; Peter Palensky; Peyman Mohajerin Esfahani (CoRR, 2020)

A Cyber Security Monitoring Approach for Low-voltage Distributed Generation Control System Using Both Network Traffic Data and Side-channel Information. - Jiandong Si; Huaiyu Liu; Zihuai Zheng; Xueqi Jin; Dongbo Zhang; Zhouhong Wang; Kaikai Pan (EEET, 2022)

Navier-stokes Generative Adversarial Network: a physics-informed deep learning model for fluid flow generation. - Pin Wu; Kaikai Pan; Lulu Ji; Siquan Gong; Weibing Feng; Wenyan Yuan; Christopher C. Pain (Neural Comput. Appl., 2022)

Dynamic Anomaly Detection With High-Fidelity Simulators: A Convex Optimization Approach. - Kaikai Pan; Peter Palensky; Peyman Mohajerin Esfahani (IEEE Trans. Smart Grid, 2022)

Attack Detection for Distributed Photovoltaic Generation Systems Leveraging Cyber and Power Side Channel Data. - Huaiyu Liu; Yuze Fu; Kaikai Pan; Wenyuan Xu 001; Chenggang Li; Chen Liu (ISGT Asia, 2023)

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities. - Jialin Wu; Kaikai Pan; Yanjiao Chen; Jiangyi Deng; Shengyuan Pang; Wenyuan Xu 001 (MetaCom, 2024)

ReThink: Reveal the Threat of Electromagnetic Interference on Power Inverters. - Fengchen Yang; Zihao Dan; Kaikai Pan; Chen Yan 001; Xiaoyu Ji 001; Wenyuan Xu 001 (NDSS, 2025)

Robust multivariate detection and estimation with fault frequency content information. - Jingwei Dong; Kaikai Pan; Sérgio Pequito; Peyman Mohajerin Esfahani (Autom., 2025)

Sensor Attacks on Grid-Tie Photovoltaic Inverters: Synthetic Analysis and Real-Time Robust Detection. - Zhiyun Wang; Kaikai Pan; Wenyuan Xu 001 (IEEE Trans. Ind. Informatics, 2025)

Real-Time Estimation and Defense of PV Inverter Sensor Attacks With Hardware Implementation. - Kaikai Pan; Zhiyun Wang; Jingwei Dong; Peter Palensky; Wenyuan Xu 001 (IEEE Trans. Ind. Electron., 2025)

RobIn: Robust-Invariant-Based Physical Attack Detector for Autonomous Aerial Vehicles. - Qidi Zhong; Shiang Guo; Aoran Cui; Kaikai Pan; Wenyuan Xu 001 (IEEE Internet Things J., 2025)