Kento Hasegawa

According to our database, Kento Hasegawa authored at least 32 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PenGym: Pentesting Training Framework for Reinforcement Learning Agents.

Huynh Phuong Thanh Nguyen, Zhi Chen, Kento Hasegawa, Kazuhide Fukushima, Razvan Beuran

Proceedings of the 10th International Conference on Information Systems Security and Privacy, 2024

Vulnerability Information Sharing Platform for Securing Hardware Supply Chains.

Kento Hasegawa, Katsutoshi Hanahara, Hiroshi Sugisaki, Minoru Kozu, Kazuhide Fukushima, Yosuke Murakami, Shinsaku Kiyomoto

Proceedings of the 10th International Conference on Information Systems Security and Privacy, 2024

2023

R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training.

Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, Nozomu Togawa

IEEE Trans. Computers, February, 2023

EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning.

Hiroya Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima

CoRR, 2023

Automating XSS Vulnerability Testing Using Reinforcement Learning.

Kento Hasegawa, Seira Hidano, Kazuhide Fukushima

Proceedings of the 9th International Conference on Information Systems Security and Privacy, 2023

2022

Effective Hardware-Trojan Feature Extraction Against Adversarial Attacks at Gate-Level Netlists.

Kazuki Yamashita, Tomohiro Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Nozomu Togawa

Proceedings of the 28th IEEE International Symposium on On-Line Testing and Robust System Design, 2022

2021

Generating Adversarial Examples for Hardware-Trojan Detection at Gate-Level Netlists.

Kohei Nozawa, Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Kazuo Hashimoto, Nozomu Togawa

J. Inf. Process., 2021

A Two-Stage Hardware Trojan Detection Method Considering the Trojan Probability of Neighbor Nets.

Kento Hasegawa, Tomotaka Inoue, Nozomu Togawa

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

Node-wise Hardware Trojan Detection Based on Graph Learning.

Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa

CoRR, 2021

Data Augmentation for Machine Learning-Based Hardware Trojan Detection at Gate-Level Netlists.

Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, Nozomu Togawa

Proceedings of the 27th IEEE International Symposium on On-Line Testing and Robust System Design, 2021

Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training.

Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Nozomu Togawa

Proceedings of the Cryptology and Network Security - 20th International Conference, 2021

2020

Trojan-Net Classification for Gate-Level Hardware Design Utilizing Boundary Net Structures.

Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

IEICE Trans. Inf. Syst., 2020

A Capacitance Measurement Device for Running Hardware Devices and Its Evaluations.

Makoto Nishizawa, Kento Hasegawa, Nozomu Togawa

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020

An Anomalous Behavior Detection Method for IoT Devices by Extracting Application-Specific Power Behaviors.

Kazunari Takasaki, Kento Hasegawa, Ryoichi Kida, Nozomu Togawa

Proceedings of the 26th IEEE International Symposium on On-Line Testing and Robust System Design, 2020

Evaluation on Hardware-Trojan Detection at Gate-Level IP Cores Utilizing Machine Learning Methods.

Tatsuki Kurihara, Kento Hasegawa, Nozomu Togawa

Proceedings of the 26th IEEE International Symposium on On-Line Testing and Robust System Design, 2020

FPGA-based Heterogeneous Solver for Three-Dimensional Routing.

Kento Hasegawa, Ryota Ishikawa, Makoto Nishizawa, Kazushi Kawamura, Masashi Tawada, Nozomu Togawa

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Empirical Evaluation on Anomaly Behavior Detection for Low-Cost Micro-Controllers Utilizing Accurate Power Analysis.

Kento Hasegawa, Kiyoshi Chikamatsu, Nozomu Togawa

Proceedings of the 25th IEEE International Symposium on On-Line Testing and Robust System Design, 2019

Implementation of a ROS-Based Autonomous Vehicle on an FPGA Board.

Kento Hasegawa, Kazunari Takasaki, Makoto Nishizawa, Ryota Ishikawa, Kazushi Kawamura, Nozomu Togawa

Proceedings of the International Conference on Field-Programmable Technology, 2019

Adversarial Examples for Hardware-Trojan Detection at Gate-Level Netlists.

Kohei Nozawa, Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Kazuo Hashimoto, Nozomu Togawa

Proceedings of the Computer Security - ESORICS 2019 International Workshops, 2019

2018

Empirical Evaluation and Optimization of Hardware-Trojan Classification for Gate-Level Netlists Based on Multi-Layer Neural Networks.

Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018

Hardware Trojan Detection Utilizing Machine Learning Approaches.

Kento Hasegawa, Youhua Shi, Nozomu Togawa

Proceedings of the 17th IEEE International Conference On Trust, 2018

A Trojan-invalidating Circuit Based on Signal Transitions and Its FPGA Implementation.

Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Detecting the Existence of Malfunctions in Microcontrollers Utilizing Power Analysis.

Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

Proceedings of the 24th IEEE International Symposium on On-Line Testing And Robust System Design, 2018

A hardware-Trojan classification method utilizing boundary net structures.

Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Designing Subspecies of Hardware Trojans and Their Detection Using Neural Network Approach.

Tomotaka Inoue, Kento Hasegawa, Yuki Kobayashi, Masao Yanagisawa, Nozomu Togawa

Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 2018

Capacitance Measurement of Running Hardware Devices and its Application to Malicious Modification Detection.

Makoto Nishizawa, Kento Hasegawa, Nozomu Togawa

Proceedings of the 2018 IEEE Asia Pacific Conference on Circuits and Systems, 2018

2017

Trojan-Net Feature Extraction and Its Application to Hardware-Trojan Detection for Gate-Level Netlists Using Random Forest.

Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

A Hardware-Trojan Classification Method Using Machine Learning at Gate-Level Netlists Based on Trojan Features.

Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

Trojan-feature extraction at gate-level netlists and its application to hardware-Trojan detection using random forest classifier.

Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Hardware Trojans classification for gate-level netlists using multi-layer neural networks.

Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

Proceedings of the 23rd IEEE International Symposium on On-Line Testing and Robust System Design, 2017

Designing hardware trojans and their detection based on a SVM-based approach.

Tomotaka Inoue, Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa

Proceedings of the 12th IEEE International Conference on ASIC, 2017

2016

Hardware Trojans classification for gate-level netlists based on machine learning.

Kento Hasegawa, Masaru Oya, Masao Yanagisawa, Nozomu Togawa

Proceedings of the 22nd IEEE International Symposium on On-Line Testing and Robust System Design, 2016