Kento Hasegawa

56 papers B 2C 19Misc 1Journal 17Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AISTIP: AI Security Threat Intelligence Platform to Gather Knowledge from Technical Documents. ICAART (5) Kento Hasegawa, Seira Hidano
2026	J	`jnl`	Initial Seeds Generation Based on Communication Logs Using LLM for IoT Device Fuzzing. IEICE Trans. Inf. Syst. Hibiki Nakanishi, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2025	J	`jnl`	AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders. CoRR Hiroya Kato, Kentaro Kita, Kento Hasegawa, Seira Hidano
2025	J	`jnl`	Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization. CoRR Pablo Loyola, Kento Hasegawa, Andres Hoyos-Idobro, Kazuo Ono, Toyotaro Suzumura, Yu Hirate, Masanao Yamaoka
2025	—	`conf`	Automated Security Compliance Evaluation Using Hierarchical RAG for IoT Devices with Large-Scale Documentation. IOTSMS Yuka Ikegami, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2025	C	`conf`	Automated Test Input Generation Based on Web User Interfaces via Large Language Models. IoTBDS Kento Hasegawa, Hibiki Nakanishi, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2025	C	`conf`	Automating the Assessment of Japanese Cyber-Security Technical Assessment Requirements Using Large Language Models. IoTBDS Kento Hasegawa, Yuka Ikegami, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2025	C	`conf`	Autonomous Hardware-Trojan Generation Method Using Reinforcement Learning for Random Forest-Based Hardware-Trojan Detection. ICCE Yuka Ikegami, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Nozomu Togawa
2025	Misc	`conf`	Evaluation of Adversarial Input Attacks in Retrieval-Augmented Generation Using Large Language Models. IWSEC Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
2025	—	`conf`	LLM-Based IoT Fuzzing with Format Consistency and Vulnerability-Aware Test Case Generation. IOTSMS Hibiki Nakanishi, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2025	—	`conf`	LLM-Guided Initial Seed Selection for Black-Box IoT Fuzzing to Enhance Vulnerability Detection. ComComAP Hibiki Nakanishi, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2025	—	`conf`	LLM-based Fuzzing Method Using UI-based Input Value Generation for IoT Devices. ICCE-Berlin Hibiki Nakanishi, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Nozomu Togawa
2025	J	`jnl`	Node-Wise Hardware Trojan Detection Based on Graph Learning. IEEE Trans. Computers Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2025	J	`jnl`	PenGym: Realistic training environment for reinforcement learning pentesting agents. Comput. Secur. Huynh Phuong Thanh Nguyen, Kento Hasegawa, Kazuhide Fukushima, Razvan Beuran
2025	C	`conf`	Performance Comparison of the LLM Models on LLM-Based Seed Generation Method for IoT Device Fuzzing. ICCE Hibiki Nakanishi, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2025	J	`jnl`	Prioritizing Vulnerability Assessment Items for IoT Devices Based on Suitability Evaluation Using LLMs. IEICE Trans. Inf. Syst. Yuka Ikegami, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2025	—	`conf`	Security Conformance Scoring for IoT Devices Through Documentation Analysis Using Large Language Models. ICCE-Berlin Yuka Ikegami, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2024	—	`conf`	AutoRed: Automating Red Team Assessment via Strategic Thinking Using Reinforcement Learning. CODASPY Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
2024	—	`conf`	EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning. SaTML Hiroya Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
2024	—	`conf`	Initial Seeds Generation Using LLM for IoT Device Fuzzing. IOTSMS Hibiki Nakanishi, Kota Hisafuru, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2024	C	`conf`	PenGym: Pentesting Training Framework for Reinforcement Learning Agents. ICISSP Huynh Phuong Thanh Nguyen, Zhi Chen, Kento Hasegawa, Kazuhide Fukushima, Razvan Beuran
2024	—	`conf`	Prioritizing Vulnerability Assessment Items Using LLM Based on IoT Device Documentations. IOTSMS Yuka Ikegami, Ryotaro Negishi, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2024	C	`conf`	RAG Certainty: Quantifying the Certainty of Context-Based Responses by LLMs. ICMLA Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
2024	C	`conf`	Vulnerability Information Sharing Platform for Securing Hardware Supply Chains. ICISSP Kento Hasegawa, Katsutoshi Hanahara, Hiroshi Sugisaki, Minoru Kozu, Kazuhide Fukushima, Yosuke Murakami, Shinsaku Kiyomoto
2023	C	`conf`	Automating XSS Vulnerability Testing Using Reinforcement Learning. ICISSP Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
2023	J	`jnl`	EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning. CoRR Hiroya Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima
2023	B	`conf`	Membership Inference Attacks against GNN-based Hardware Trojan Detection. TrustCom Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2023	J	`jnl`	R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training. IEEE Trans. Computers Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, Nozomu Togawa
2022	C	`conf`	Effective Hardware-Trojan Feature Extraction Against Adversarial Attacks at Gate-Level Netlists. IOLTS Kazuki Yamashita, Tomohiro Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima, Nozomu Togawa
2022	J	`jnl`	R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training. CoRR Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, Nozomu Togawa
2021	J	`jnl`	A Two-Stage Hardware Trojan Detection Method Considering the Trojan Probability of Neighbor Nets. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Kento Hasegawa, Tomotaka Inoue, Nozomu Togawa
2021	C	`conf`	Data Augmentation for Machine Learning-Based Hardware Trojan Detection at Gate-Level Netlists. IOLTS Kento Hasegawa, Seira Hidano, Kohei Nozawa, Shinsaku Kiyomoto, Nozomu Togawa
2021	J	`jnl`	Generating Adversarial Examples for Hardware-Trojan Detection at Gate-Level Netlists. J. Inf. Process. Kohei Nozawa, Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Kazuo Hashimoto, Nozomu Togawa
2021	J	`jnl`	Node-wise Hardware Trojan Detection Based on Graph Learning. CoRR Kento Hasegawa, Kazuki Yamashita, Seira Hidano, Kazuhide Fukushima, Kazuo Hashimoto, Nozomu Togawa
2021	B	`conf`	Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training. CANS Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Nozomu Togawa
2020	J	`jnl`	A Capacitance Measurement Device for Running Hardware Devices and Its Evaluations. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Makoto Nishizawa, Kento Hasegawa, Nozomu Togawa
2020	C	`conf`	An Anomalous Behavior Detection Method for IoT Devices by Extracting Application-Specific Power Behaviors. IOLTS Kazunari Takasaki, Kento Hasegawa, Ryoichi Kida, Nozomu Togawa
2020	C	`conf`	Evaluation on Hardware-Trojan Detection at Gate-Level IP Cores Utilizing Machine Learning Methods. IOLTS Tatsuki Kurihara, Kento Hasegawa, Nozomu Togawa
2020	—	`conf`	FPGA-based Heterogeneous Solver for Three-Dimensional Routing. ASP-DAC Kento Hasegawa, Ryota Ishikawa, Makoto Nishizawa, Kazushi Kawamura, Masashi Tawada, Nozomu Togawa
2020	J	`jnl`	Trojan-Net Classification for Gate-Level Hardware Design Utilizing Boundary Net Structures. IEICE Trans. Inf. Syst. Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2019	—	`conf`	Adversarial Examples for Hardware-Trojan Detection at Gate-Level Netlists. CyberICPS/SECPRE/SPOSE/ADIoT@ESORICS Kohei Nozawa, Kento Hasegawa, Seira Hidano, Shinsaku Kiyomoto, Kazuo Hashimoto, Nozomu Togawa
2019	C	`conf`	Empirical Evaluation on Anomaly Behavior Detection for Low-Cost Micro-Controllers Utilizing Accurate Power Analysis. IOLTS Kento Hasegawa, Kiyoshi Chikamatsu, Nozomu Togawa
2019	—	`conf`	Implementation of a ROS-Based Autonomous Vehicle on an FPGA Board. FPT Kento Hasegawa, Kazunari Takasaki, Makoto Nishizawa, Ryota Ishikawa, Kazushi Kawamura, Nozomu Togawa
2018	C	`conf`	A Trojan-invalidating Circuit Based on Signal Transitions and Its FPGA Implementation. ISCAS Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2018	C	`conf`	A hardware-Trojan classification method utilizing boundary net structures. ICCE Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2018	—	`conf`	Capacitance Measurement of Running Hardware Devices and its Application to Malicious Modification Detection. APCCAS Makoto Nishizawa, Kento Hasegawa, Nozomu Togawa
2018	—	`conf`	Designing Subspecies of Hardware Trojans and Their Detection Using Neural Network Approach. ICCE-Berlin Tomotaka Inoue, Kento Hasegawa, Yuki Kobayashi, Masao Yanagisawa, Nozomu Togawa
2018	C	`conf`	Detecting the Existence of Malfunctions in Microcontrollers Utilizing Power Analysis. IOLTS Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2018	J	`jnl`	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. Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2018	—	`conf`	Hardware Trojan Detection Utilizing Machine Learning Approaches. TrustCom/BigDataSE Kento Hasegawa, Youhua Shi, Nozomu Togawa
2017	J	`jnl`	A Hardware-Trojan Classification Method Using Machine Learning at Gate-Level Netlists Based on Trojan Features. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2017	—	`conf`	Designing hardware trojans and their detection based on a SVM-based approach. ASICON Tomotaka Inoue, Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2017	C	`conf`	Hardware Trojans classification for gate-level netlists using multi-layer neural networks. IOLTS Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2017	J	`jnl`	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. Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2017	C	`conf`	Trojan-feature extraction at gate-level netlists and its application to hardware-Trojan detection using random forest classifier. ISCAS Kento Hasegawa, Masao Yanagisawa, Nozomu Togawa
2016	C	`conf`	Hardware Trojans classification for gate-level netlists based on machine learning. IOLTS Kento Hasegawa, Masaru Oya, Masao Yanagisawa, Nozomu Togawa