On Brightness Agnostic Adversarial Examples Against Face Recognition Systems. - Inderjeet Singh; Satoru Momiyama; Kazuya Kakizaki; Toshinori Araki (BIOSIG, 2021)

A Framework for Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems. - Ron Bitton; Nadav Maman; Inderjeet Singh; Satoru Momiyama; Yuval Elovici; Asaf Shabtai (CoRR, 2021)

Dodging Attack Using Carefully Crafted Natural Makeup. - Nitzan Guetta; Asaf Shabtai; Inderjeet Singh; Satoru Momiyama; Yuval Elovici (CoRR, 2021)

Latent SHAP: Toward Practical Human-Interpretable Explanations. - Ron Bitton; Alon Malach; Amiel Meiseles; Satoru Momiyama; Toshinori Araki; Jun Furukawa 001; Yuval Elovici; Asaf Shabtai (CoRR, 2022)

IC-SECURE: Intelligent System for Assisting Security Experts in Generating Playbooks for Automated Incident Response. - Ryuta Kremer; Prasanna N. Wudali; Satoru Momiyama; Toshinori Araki; Jun Furukawa 001; Yuval Elovici; Asaf Shabtai (CoRR, 2023)

FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning. - Chen Doytshman; Satoru Momiyama; Inderjeet Singh; Yuval Elovici; Asaf Shabtai (CoRR, 2023)

Evaluating the Cybersecurity Risk of Real-world, Machine Learning Production Systems. - Ron Bitton; Nadav Maman; Inderjeet Singh; Satoru Momiyama; Yuval Elovici; Asaf Shabtai (ACM Comput. Surv., 2023)

ConvFL: Efficient Federated Learning of Heterogeneous Model Structures with Converters. - Yuto Matsunaga; Satoru Momiyama; Batnyam Enkhtaivan; Taiki Miyagawa; Isamu Teranishi (SmartIoT, 2024)

CyberShapley: Explanation, prioritization, and triage of cybersecurity alerts using informative graph representation. - Alon Malach; Prasanna N. Wudali; Satoru Momiyama; Jun Furukawa 001; Toshinori Araki; Yuval Elovici; Asaf Shabtai (Comput. Secur., 2025)

Toward practical human-interpretable explanations. - Alon Malach; Amiel Meiseles; Ron Bitton; Satoru Momiyama; Toshinori Araki; Jun Furukawa 001; Yuval Elovici; Asaf Shabtai (Mach. Learn., 2025)