Comparison of Dimension Reduction Methods for Database-Adaptive 3D Model Retrieval. - Ryutarou Ohbuchi; Jun Kobayashi; Akihiro Yamamoto; Toshiya Shimizu (Adaptive Multimedia Retrieval, 2007)

Ranking on semantic manifold for shape-based 3d model retrieval. - Ryutarou Ohbuchi; Toshiya Shimizu (Multimedia Information Retrieval, 2008)

SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval. - Akihiro Yamamoto; Masaki Tezuka; Toshiya Shimizu; Ryutarou Ohbuchi (Shape Modeling International, 2008)

Block Cipher Modes of Operation for Heterogeneous Format Preserving Encryption. - Toshiya Shimizu; Takeshi Shimoyama (ISPEC, 2017)

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

A Setup-Free Threshold Encryption Scheme for the Bitcoin Protocol and Its Applications. - Goichiro Hanaoka; Yusuke Sakai 001; Toshiya Shimizu; Takeshi Shimoyama; SeongHan Shin (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 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)

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)

MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models. - Jonathan Brokman; Omer Hofman; Roman Vainshtein; Amit Giloni; Toshiya Shimizu; Inderjeet Singh; Oren Rachmil; Alon Zolfi; Asaf Shabtai; Yuki Unno; Hisashi Kojima (ECCV (75), 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)

KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models. - Yarin Yerushalmi Levi; Edita Grolman; Idan Yankelev; Amit Giloni; Omer Hofman; Toshiya Shimizu; Asaf Shabtai; Yuval Elovici (AAAI, 2025)

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)

MAPS: A Multilingual Benchmark for Global Agent Performance and Security. - Omer Hofman; Oren Rachmil; Shamik Bose; Vikas Pahuja; Jonathan Brokman; Toshiya Shimizu; Trisha Starostina; Kelly Marchisio; Seraphina Goldfarb-Tarrant; Roman Vainshtein (CoRR, 2025)