Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts. - Nami Ashizawa; Naoto Yanai; Jason Paul Cruz; Shingo Okamura (BSCI, 2021)

Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection. - Yang Chen 007; Nami Ashizawa; Seanglidet Yean; Chai Kiat Yeo; Naoto Yanai (CCNC, 2021)

MADMAX: Browser-Based Malicious Domain Detection Through Extreme Learning Machine. - Kazuki Iwahana; Tatsuya Takemura; Ju Chien Cheng; Nami Ashizawa; Naoki Umeda; Kodai Sato; Ryota Kawakami; Rei Shimizu; Yuichiro Chinen; Naoto Yanai (IEEE Access, 2021)

Multi-scale Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for unsupervised intrusion detection. - Yang Chen 007; Nami Ashizawa; Chai Kiat Yeo; Naoto Yanai; Seanglidet Yean (Knowl. Based Syst., 2021)

Do Backdoors Assist Membership Inference Attacks? - Yumeki Goto; Nami Ashizawa; Toshiki Shibahara; Naoto Yanai (SecureComm (2), 2023)

Restoring Unintended Model Learning by Error Correcting Code. - Nami Ashizawa; Toshiki Shibahara; Naoto Kiribuchi; Osamu Saisho; Naoto Yanai (ACSAC Workshops, 2024)

CAPT-AI: Study on AI Model Identification Using Ability Differences. - Seiya Kajihara; Takumi Takaiwa; Tsubasa Shibata; Nami Ashizawa; Naoto Kiribuchi; Toshiki Shibahara; Osamu Saisho; Tetsushi Ohki; Masakatsu Nishigaki (HCI (63), 2025)