MOBIUS: Model-Oblivious Binarized Neural Networks. - Hiromasa Kitai; Jason Paul Cruz; Naoto Yanai; Naohisa Nishida; Tatsumi Oba; Yuji Unagami; Tadanori Teruya; Nuttapong Attrapadung; Takahiro Matsuda 002; Goichiro Hanaoka (IEEE Access, 2019)

MOTUS: How Quantized Parameters Improve Protection of Model and Its Inference Input. - Hiromasa Kitai; Naoto Yanai; Kazuki Iwahana; Masataka Tatsumi; Jason Paul Cruz (SecITC, 2022)

A Study on Quantized Parameters for Protection of a Model and Its Inference Input. - Hiromasa Kitai; Naoto Yanai; Kazuki Iwahana; Masataka Tatsumi; Jason Paul Cruz (J. Inf. Process., 2023)