Toshiki Shibahara

According to our database, Toshiki Shibahara authored at least 33 papers between 2015 and 2024.

Collaborative distances:

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

2024

SETSUBUN: Revisiting Membership Inference Game for Evaluating Synthetic Data Generation.

Takayuki Miura, Masanobu Kii, Toshiki Shibahara, Kazuki Iwahana, Tetsuya Okuda, Atsunori Ichikawa, Naoto Yanai

J. Inf. Process., 2024

MEGEX: Data-Free Model Extraction Attack Against Gradient-Based Explainable AI.

Takayuki Miura, Toshiki Shibahara, Naoto Yanai

Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning Systems, 2024

Evaluation of Adversarial Examples Based on Original Definition.

Ko Fujimori, Toshiki Shibahara, Daiki Chiba, Mitsuaki Akiyama, Masato Uchida

Proceedings of the HCI International 2024 Posters, 2024

Efficiently Calculating Stronger Lower Bound for Differentially Private SGD in Black-Box Setting.

Toshiki Shibahara, Takayuki Miura, Masanobu Kii, Atsunori Ichikawa

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Noisy Label Detection for Multi-labeled Malware.

Naoki Fukushi, Toshiki Shibahara, Hiroki Nakano, Takashi Koide, Daiki Chiba

Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024

2023

Interpreting Graph-Based Sybil Detection Methods as Low-Pass Filtering.

Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida

IEEE Trans. Inf. Forensics Secur., 2023

On Rényi Differential Privacy in Statistics-based Synthetic Data Generation.

Takayuki Miura, Toshiki Shibahara, Masanobu Kii, Atsunori Ichikawa, Juko Yamamoto, Koji Chida

J. Inf. Process., 2023

Do Backdoors Assist Membership Inference Attacks?

Yumeki Goto, Nami Ashizawa, Toshiki Shibahara, Naoto Yanai

CoRR, 2023

Analysis of Homophily Effects on Information Diffusion on Social Networks.

Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida

IEEE Access, 2023

2022

Competitive Information Spreading on Modular Networks.

Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida

Proceedings of the Network Science - 7th International Winter Conference, 2022

Objection!: Identifying Misclassified Malicious Activities with XAI.

Koji Fujita, Toshiki Shibahara, Daiki Chiba, Mitsuaki Akiyama, Masato Uchida

Proceedings of the IEEE International Conference on Communications, 2022

2021

Timing Attack on Random Forests: Experimental Evaluation and Detailed Analysis.

Yuichiro Dan, Toshiki Shibahara, Junko Takahashi

J. Inf. Process., 2021

MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI.

Takayuki Miura, Satoshi Hasegawa, Toshiki Shibahara

CoRR, 2021

Understanding Update of Machine-Learning-Based Malware Detection by Clustering Changes in Feature Attributions.

Yun Fan, Toshiki Shibahara, Yuichi Ohsita, Daiki Chiba, Mitsuaki Akiyama, Masayuki Murata

Proceedings of the Advances in Information and Computer Security, 2021

2020

Study on the Vulnerabilities of Free and Paid Mobile Apps Associated with Software Library.

Takuya Watanabe, Mitsuaki Akiyama, Fumihiro Kanei, Eitaro Shioji, Yuta Takata, Bo Sun, Yuta Ishii, Toshiki Shibahara, Takeshi Yagi, Tatsuya Mori

IEICE Trans. Inf. Syst., 2020

Special-purpose Model Extraction Attacks: Stealing Coarse Model with Fewer Queries.

Rina Okada, Zen Ishikura, Toshiki Shibahara, Satoshi Hasegawa

Proceedings of the 19th IEEE International Conference on Trust, 2020

Timing Attack on Random Forests for Generating Adversarial Examples.

Yuichiro Dan, Toshiki Shibahara, Junko Takahashi

Proceedings of the Advances in Information and Computer Security, 2020

Sybil Detection as Graph Filtering.

Satoshi Furutani, Toshiki Shibahara, Kunio Hato, Mitsuaki Akiyama, Masaki Aida

Proceedings of the IEEE Global Communications Conference, 2020

Detecting Malware-infected Hosts Using Templates of Multiple HTTP Requests.

Taiga Hokaguchi, Yuichi Ohsita, Toshiki Shibahara, Daiki Chiba, Mitsuaki Akiyama, Masayuki Murata

Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

2019

Efficient Dynamic Malware Analysis for Collecting HTTP Requests using Deep Learning.

Toshiki Shibahara, Takeshi Yagi, Mitsuaki Akiyama, Daiki Chiba, Kunio Hato

IEICE Trans. Inf. Syst., 2019

Evasive Malicious Website Detection by Leveraging Redirection Subgraph Similarities.

Toshiki Shibahara, Yuta Takata, Mitsuaki Akiyama, Takeshi Yagi, Kunio Hato, Masayuki Murata

IEICE Trans. Inf. Syst., 2019

Graph Signal Processing for Directed Graphs Based on the Hermitian Laplacian.

Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, Kunio Hato, Masaki Aida

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Anomaly Detection for Mixed Transmission CAN Messages Using Quantized Intervals and Absolute Difference of Payloads.

Takuma Koyama, Toshiki Shibahara, Keita Hasegawa, Yasushi Okano, Masashi Tanaka, Yoshihito Oshima

Proceedings of the ACM Workshop on Automotive Cybersecurity, 2019

Cross-Vendor Knowledge Transfer for Managed Security Services with Triplet Network.

Toshiki Shibahara, Hirokazu Kodera, Daiki Chiba, Mitsuaki Akiyama, Kunio Hato, Ola Söderström, Daniel Dalek, Masayuki Murata

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

2018

DomainProfiler: toward accurate and early discovery of domain names abused in future.

Daiki Chiba, Takeshi Yagi, Mitsuaki Akiyama, Toshiki Shibahara, Tatsuya Mori, Shigeki Goto

Int. J. Inf. Sec., 2018

Event De-Noising Convolutional Neural Network for Detecting Malicious URL Sequences from Proxy Logs.

Toshiki Shibahara, Kohei Yamanishi, Yuta Takata, Daiki Chiba, Taiga Hokaguchi, Mitsuaki Akiyama, Takeshi Yagi, Yuichi Ohsita, Masayuki Murata

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

2017

A Study on the Vulnerabilities of Mobiles Apps associated with Software Modules.

Takuya Watanabe, Mitsuaki Akiyama, Fumihiro Kanei, Eitaro Shioji, Yuta Takata, Bo Sun, Yuta Ishii, Toshiki Shibahara, Takeshi Yagi, Tatsuya Mori

CoRR, 2017

Understanding the origins of mobile app vulnerabilities: a large-scale measurement study of free and paid apps.

Takuya Watanabe, Mitsuaki Akiyama, Fumihiro Kanei, Eitaro Shioji, Yuta Takata, Bo Sun, Yuta Ishii, Toshiki Shibahara, Takeshi Yagi, Tatsuya Mori

Proceedings of the 14th International Conference on Mining Software Repositories, 2017

Malicious URL sequence detection using event de-noising convolutional neural network.

Toshiki Shibahara, Kohei Yamanishi, Yuta Takata, Daiki Chiba, Mitsuaki Akiyama, Takeshi Yagi, Yuichi Ohsita, Masayuki Murata

Proceedings of the IEEE International Conference on Communications, 2017

Detecting Malicious Websites by Integrating Malicious, Benign, and Compromised Redirection Subgraph Similarities.

Toshiki Shibahara, Yuta Takata, Mitsuaki Akiyama, Takeshi Yagi, Takeshi Yada

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016

Efficient Dynamic Malware Analysis Based on Network Behavior Using Deep Learning.

Toshiki Shibahara, Takeshi Yagi, Mitsuaki Akiyama, Daiki Chiba, Takeshi Yada

Proceedings of the 2016 IEEE Global Communications Conference, 2016

DomainProfiler: Discovering Domain Names Abused in Future.

Daiki Chiba, Takeshi Yagi, Mitsuaki Akiyama, Toshiki Shibahara, Takeshi Yada, Tatsuya Mori, Shigeki Goto

Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

2015

POSTER: Detecting Malicious Web Pages based on Structural Similarity of Redirection Chains.

Toshiki Shibahara, Takeshi Yagi, Mitsuaki Akiyama, Yuta Takata, Takeshi Yada

Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015