| Online cyber-attack detection in smart grid: A reinforcement learning approach MN Kurt, O Ogundijo, C Li, X Wang IEEE Transactions on Smart Grid 10 (5), 5174-5185, 2018 | 246 | 2018 |
| Distributed quickest detection of cyber-attacks in smart grid MN Kurt, Y Yılmaz, X Wang IEEE Transactions on Information Forensics and Security 13 (8), 2015-2030, 2018 | 201 | 2018 |
| Real-time detection of hybrid and stealthy cyber-attacks in smart grid MN Kurt, Y Yılmaz, X Wang IEEE Transactions on Information Forensics and Security 14 (2), 498-513, 2018 | 188 | 2018 |
| Secure distributed dynamic state estimation in wide-area smart grids MN Kurt, Y Yılmaz, X Wang IEEE Transactions on Information Forensics and Security 15, 800-815, 2019 | 81 | 2019 |
| Real-time nonparametric anomaly detection in high-dimensional settings MN Kurt, Y Yılmaz, X Wang IEEE transactions on pattern analysis and machine intelligence 43 (7), 2463-2479, 2020 | 68 | 2020 |
| Optimal jammer placement in wireless localization systems S Gezici, S Bayram, MN Kurt, MR Gholami IEEE Transactions on Signal Processing 64 (17), 4534-4549, 2016 | 23 | 2016 |
| Multisensor sequential change detection with unknown change propagation pattern MN Kurt, X Wang IEEE Transactions on Aerospace and Electronic Systems 55 (3), 1498-1518, 2018 | 22 | 2018 |
| Online privacy-preserving data-driven network anomaly detection MN Kurt, Y Yılmaz, X Wang, PJ Mosterman IEEE Journal on Selected Areas in Communications 40 (3), 982-998, 2022 | 13 | 2022 |
| Stochastic integrated actor–critic for deep reinforcement learning J Zheng, MN Kurt, X Wang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 9 | 2022 |
| Sequential model-free anomaly detection for big data streams MN Kurt, Y Yılmaz, X Wang 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 9 | 2019 |
| Distributed dynamic state estimation and LQG control in resource-constrained networks Y Yılmaz, MN Kurt, X Wang IEEE Transactions on Signal and Information Processing over Networks 4 (3 …, 2018 | 8 | 2018 |
| Integrated actor-critic for deep reinforcement learning J Zheng, MN Kurt, X Wang Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 7 | 2021 |
| Data-Driven Precoder Codebook Design for SU-MIMO Systems K Satyanarayana, O Sahin, MN Kurt 2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 1-5, 2022 | 2 | 2022 |
| Deep Q-network-aided adaptive mmwave multi-user NOMA selection and detection K Satyanarayana, O Sahin, MN Kurt ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 2 | 2021 |
| Data-Driven Quickest Change Detection MN Kurt Columbia University, 2020 | 2 | 2020 |
| Online cyber-attack detection in smart grid: a reinforcement learning approach M Necip Kurt, O Ogundijo, C Li, X Wang arXiv e-prints, arXiv: 1809.05258, 2018 | 2 | 2018 |
| Multi-sensor sequential change detection with unknown change propagation dynamics MN Kurt, V Raghavan, X Wang arXiv preprint arXiv:1708.04722, 2017 | 2 | 2017 |
| Maximization of average number of correctly received symbols over multiple channels in the presence of idle periods MF Keskin, MN Kurt, ME Tutay, S Gezici, O Arikan Digital Signal Processing 54, 95-118, 2016 | 2 | 2016 |
| DeepQCD: An end-to-end deep learning approach to quickest change detection MN Kurt, J Zheng, Y Yilmaz, X Wang Journal of the Franklin Institute 361 (18), 107199, 2024 | | 2024 |
| Data-Driven Sequential Change Detection in Privacy-Sensitive Networks MN Kurt, X Wang, PJ Mosterman, Y Yilmaz 2023 59th Annual Allerton Conference on Communication, Control, and …, 2023 | | 2023 |