Prevention of Data Leakage due to Implicit Information Flows in Android Applications. - Hiroki Inayoshi; Shohei Kakei; Eiji Takimoto; Koichi Mouri; Shoichi Saito (AsiaJCIS, 2019)

VTDroid: Value-based Tracking for Overcoming Anti-Taint-Analysis Techniques in Android Apps. - Hiroki Inayoshi; Shohei Kakei; Eiji Takimoto; Koichi Mouri; Shoichi Saito (ARES, 2021)

Plug and Analyze: Usable Dynamic Taint Tracker for Android Apps. - Hiroki Inayoshi; Shohei Kakei; Shoichi Saito (SCAM, 2022)

Value-utilized taint propagation: toward precise detection of apps' information flows across Android API calls. - Hiroki Inayoshi; Shohei Kakei; Eiji Takimoto; Koichi Mouri; Shoichi Saito (Int. J. Inf. Sec., 2022)

Execution Recording and Reconstruction for Detecting Information Flows in Android Apps. - Hiroki Inayoshi; Shohei Kakei; Shoichi Saito (IEEE Access, 2023)

Detection of Inconsistencies between Guidance Pages and Actual Data Collection of Third-party SDKs in Android Apps. - Hiroki Inayoshi; Shohei Kakei; Shoichi Saito (MOBILESoft@ICSE, 2024)

Porting a Python Application to the Web Using Django: A Case Study of an Archaeological Image Processing System. - Hikaru Tomita; Mariko Sasakura; Kinari Nishiura; Hiroki Inayoshi; Akito Monden (SERA, 2024)

Comparison of Similarity Functions for n-gram Software Birthmarks. - Nikolay Fedorov; Haruaki Tamada; Hiroki Inayoshi; Akito Monden (WSSE, 2024)

Demystifying Ambiguous Words in Request for Proposals of Information Systems in Japan. - Toru Nakamichi; Hiroki Inayoshi; Kinari Nishiura; Mariko Sasakura; Akito Monden (Int. J. Softw. Innov., 2024)

Evaluating Taint Specification Generators for Identifying Taint Sources in Relation to Data Safety Section. - Hiroki Inayoshi; Shoichi Saito; Akito Monden (MOBILESoft@ICSE, 2025)