Kento Hasegawa

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

Top Topics

Fpga Implementation

Imbalanced Datasets

Empirical Evaluation

Hardware Design

Top Venues

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

Publications

Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
AutoRed: Automating Red Team Assessment via Strategic Thinking Using Reinforcement Learning. CODASPY (2024)
Hiroya Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning. SaTML (2024)
Kento Hasegawa, Katsutoshi Hanahara, Hiroshi Sugisaki, Minoru Kozu, Kazuhide Fukushima, Yosuke Murakami, Shinsaku Kiyomoto
Vulnerability Information Sharing Platform for Securing Hardware Supply Chains. ICISSP (2024)
Huynh Phuong Thanh Nguyen, Zhi Chen, Kento Hasegawa, Kazuhide Fukushima, Razvan Beuran
PenGym: Pentesting Training Framework for Reinforcement Learning Agents. ICISSP (2024)
Hiroya Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning. CoRR (2023)
Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, Nozomu Togawa
R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training. IEEE Trans. Computers 72 (2) (2023)
Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
Automating XSS Vulnerability Testing Using Reinforcement Learning. ICISSP (2023)
Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
Membership Inference Attacks against GNN-based Hardware Trojan Detection. TrustCom (2023)
Kazuki Yamashita, Tomohiro Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Nozomu Togawa
Effective Hardware-Trojan Feature Extraction Against Adversarial Attacks at Gate-Level Netlists. IOLTS (2022)
Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, Nozomu Togawa
R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training. CoRR (2022)
Kento Hasegawa, Tomotaka Inoue, Nozomu Togawa
A Two-Stage Hardware Trojan Detection Method Considering the Trojan Probability of Neighbor Nets. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (11) (2021)
Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
Node-wise Hardware Trojan Detection Based on Graph Learning. CoRR (2021)
Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, Nozomu Togawa
Data Augmentation for Machine Learning-Based Hardware Trojan Detection at Gate-Level Netlists. IOLTS (2021)
Kohei Nozawa, Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Kazuo Hashimoto, Nozomu Togawa
Generating Adversarial Examples for Hardware-Trojan Detection at Gate-Level Netlists. J. Inf. Process. 29 (2021)
Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Nozomu Togawa
Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training. CANS (2021)
Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
Trojan-Net Classification for Gate-Level Hardware Design Utilizing Boundary Net Structures. IEICE Trans. Inf. Syst. (7) (2020)
Tatsuki Kurihara, Kento Hasegawa, Nozomu Togawa
Evaluation on Hardware-Trojan Detection at Gate-Level IP Cores Utilizing Machine Learning Methods. IOLTS (2020)
Kento Hasegawa, Ryota Ishikawa, Makoto Nishizawa, Kazushi Kawamura, Masashi Tawada, Nozomu Togawa
FPGA-based Heterogeneous Solver for Three-Dimensional Routing. ASP-DAC (2020)
Kazunari Takasaki, Kento Hasegawa, Ryoichi Kida, Nozomu Togawa
An Anomalous Behavior Detection Method for IoT Devices by Extracting Application-Specific Power Behaviors. IOLTS (2020)
Makoto Nishizawa, Kento Hasegawa, Nozomu Togawa
A Capacitance Measurement Device for Running Hardware Devices and Its Evaluations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (9) (2020)
Kento Hasegawa, Kazunari Takasaki, Makoto Nishizawa, Ryota Ishikawa, Kazushi Kawamura, Nozomu Togawa
Implementation of a ROS-Based Autonomous Vehicle on an FPGA Board. FPT (2019)
Kohei Nozawa, Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Kazuo Hashimoto, Nozomu Togawa
Adversarial Examples for Hardware-Trojan Detection at Gate-Level Netlists. CyberICPS/SECPRE/SPOSE/ADIoT@ESORICS (2019)
Kento Hasegawa, Kiyoshi Chikamatsu, Nozomu Togawa
Empirical Evaluation on Anomaly Behavior Detection for Low-Cost Micro-Controllers Utilizing Accurate Power Analysis. IOLTS (2019)
Kento Hasegawa, Youhua Shi, Nozomu Togawa
Hardware Trojan Detection Utilizing Machine Learning Approaches. TrustCom/BigDataSE (2018)
Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
A hardware-Trojan classification method utilizing boundary net structures. ICCE (2018)
Makoto Nishizawa, Kento Hasegawa, Nozomu Togawa
Capacitance Measurement of Running Hardware Devices and its Application to Malicious Modification Detection. APCCAS (2018)
Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
Detecting the Existence of Malfunctions in Microcontrollers Utilizing Power Analysis. IOLTS (2018)
Tomotaka Inoue, Kento Hasegawa, Yuki Kobayashi, Masao Yanagisawa, Nozomu Togawa
Designing Subspecies of Hardware Trojans and Their Detection Using Neural Network Approach. ICCE-Berlin (2018)
Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
A Trojan-invalidating Circuit Based on Signal Transitions and Its FPGA Implementation. ISCAS (2018)
Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
Empirical Evaluation and Optimization of Hardware-Trojan Classification for Gate-Level Netlists Based on Multi-Layer Neural Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2018)
Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
Hardware Trojans classification for gate-level netlists using multi-layer neural networks. IOLTS (2017)
Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
Trojan-feature extraction at gate-level netlists and its application to hardware-Trojan detection using random forest classifier. ISCAS (2017)
Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
Trojan-Net Feature Extraction and Its Application to Hardware-Trojan Detection for Gate-Level Netlists Using Random Forest. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2017)
Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
A Hardware-Trojan Classification Method Using Machine Learning at Gate-Level Netlists Based on Trojan Features. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (7) (2017)
Tomotaka Inoue, Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
Designing hardware trojans and their detection based on a SVM-based approach. ASICON (2017)
Kento Hasegawa, Masaru Oya, Masao Yanagisawa, Nozomu Togawa
Hardware Trojans classification for gate-level netlists based on machine learning. IOLTS (2016)