Cozilet: Transparent Encapsulation to Prevent Abuse of Trusted Applets. - Hisashi Kojima; Ikuya Morikawa; Yuko Nakayama; Yuji Yamaoka (ACSAC, 2004)

Threat Tree Templates to Ease Difficulties in Threat Modeling. - Ikuya Morikawa; Yuji Yamaoka (NBiS, 2011)

A Secure Framework for User-Key Provisioning to SGX Enclaves. - Takanori Machida; Dai Yamamoto; Ikuya Morikawa; Hirotaka Kokubo; Hisashi Kojima (NBiS, 2018)

Dataset Properties and Degradation of Machine Learning Accuracy with an Anonymized Training Dataset. - Wakana Maeda; Toshiya Shimizu; Takeru Fukuoka; Ikuya Morikawa (CANDAR (Workshops), 2020)

First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data. - Masataka Tasumi; Kazuki Iwahana; Naoto Yanai; Katsunari Shishido; Toshiya Shimizu; Yuji Higuchi; Ikuya Morikawa; Jun Yajima (CoRR, 2021)

A new approach for machine learning security risk assessment: work in progress. - Jun Yajima; Maki Inui; Takanori Oikawa; Fumiyoshi Kasahara; Ikuya Morikawa; Nobukazu Yoshioka (CAIN, 2022)

Membership Inference Countermeasure With A Partially Synthetic Data Approach. - Wakana Maeda; Yuji Higuchi; Kazuhiro Minami; Ikuya Morikawa (ICDIS, 2022)

HateVersarial: Adversarial Attack Against Hate Speech Detection Algorithms on Twitter. - Edita Grolman; Hodaya Binyamini; Asaf Shabtai; Yuval Elovici; Ikuya Morikawa; Toshiya Shimizu (UMAP, 2022)

Seeds Don't Lie: An Adaptive Watermarking Framework for Computer Vision Models. - Jacob Shams; Ben Nassi; Ikuya Morikawa; Toshiya Shimizu; Asaf Shabtai; Yuval Elovici (CoRR, 2022)

YolOOD: Utilizing Object Detection Concepts for Out-of-Distribution Detection. - Alon Zolfi; Guy Amit; Amit Baras; Satoru Koda; Ikuya Morikawa; Yuval Elovici; Asaf Shabtai (CoRR, 2022)

OOD-Robust Boosting Tree for Intrusion Detection Systems. - Satoru Koda; Ikuya Morikawa (IJCNN, 2023)

Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey. - Satoru Koda; Alon Zolfi; Edita Grolman; Asaf Shabtai; Ikuya Morikawa; Yuval Elovici (IJCNN, 2023)

ASRA-Q: AI Security Risk Assessment by Selective Questions. - Jun Yajima; Maki Inui; Takanori Oikawa; Fumiyoshi Kasahara; Kentaro Tsuji; Ikuya Morikawa; Nobukazu Yoshioka (J. Inf. Process., 2023)

YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection. - Alon Zolfi; Guy Amit; Amit Baras; Satoru Koda; Ikuya Morikawa; Yuval Elovici; Asaf Shabtai (CVPR, 2024)

Bounding-box Watermarking: Defense against Model Extraction Attacks on Object Detectors. - Satoru Koda; Ikuya Morikawa (CoRR, 2024)

X-Detect: explainable adversarial patch detection for object detectors in retail. - Omer Hofman; Amit Giloni; Yarin Hayun; Ikuya Morikawa; Toshiya Shimizu; Yuval Elovici; Asaf Shabtai (Mach. Learn., 2024)

DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection. - Amit Giloni; Omer Hofman; Ikuya Morikawa; Toshiya Shimizu; Yuval Elovici; Asaf Shabtai (WACV, 2025)

Using image conversion techniques to detect adversarial examples in machine learning models for tabular data. - Zahi Kapri; Edita Grolman; Ikuya Morikawa; Toshiya Shimizu; Yuval Elovici; Asaf Shabtai (Appl. Soft Comput., 2025)