Evaluation on Hardware-Trojan Detection at Gate-Level IP Cores Utilizing Machine Learning Methods. - Tatsuki Kurihara; Kento Hasegawa; Nozomu Togawa (IOLTS, 2020)

Hardware-Trojan Classification based on the Structure of Trigger Circuits Utilizing Random Forests. - Tatsuki Kurihara; Nozomu Togawa (IOLTS, 2021)

Hardware-Trojan Detection at Gate-level Netlists using Gradient Boosting Decision Tree Models. - Ryotaro Negishi; Tatsuki Kurihara; Nozomu Togawa (ICCE-Berlin, 2022)

Hardware-Trojan Detection Based on the Structural Features of Trojan Circuits Using Random Forests. - Tatsuki Kurihara; Nozomu Togawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Hardware-Trojan Detection at Gate-Level Netlists Using a Gradient Boosting Decision Tree Model and Its Extension Using Trojan Probability Propagation. - Ryotaro Negishi; Tatsuki Kurihara; Nozomu Togawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)