k-Times Anonymous Authentication (Extended Abstract). - Isamu Teranishi; Jun Furukawa 001; Kazue Sako (ASIACRYPT, 2004)

Using group signatures for identity management and its implementation. - Toshiyuki Isshiki; Kengo Mori; Kazue Sako; Isamu Teranishi; Shoko Yonezawa (Digital Identity Management, 2006)

k-Times Anonymous Authentication with a Constant Proving Cost. - Isamu Teranishi; Kazue Sako (Public Key Cryptography, 2006)

Relationship between Two Approaches for Defining the Standard Model PA-ness. - Isamu Teranishi; Wakaha Ogata (ACISP, 2008)

Cramer-Shoup Satisfies a Stronger Plaintext Awareness under a Weaker Assumption. - Isamu Teranishi; Wakaha Ogata (SCN, 2008)

Relationship between Standard Model Plaintext Awareness and Message Hiding. - Isamu Teranishi; Wakaha Ogata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

General Conversion for Obtaining Strongly Existentially Unforgeable Signatures. - Isamu Teranishi; Takuro Oyama; Wakaha Ogata (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

k-Times Anonymous Authentication. - Isamu Teranishi; Jun Furukawa 001; Kazue Sako (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Signatures Resilient to Continual Leakage on Memory and Computation. - Tal Malkin; Isamu Teranishi; Yevgeniy Vahlis; Moti Yung (IACR Cryptol. ePrint Arch., 2010)

Key dependent message security: recent results and applications. - Tal Malkin; Isamu Teranishi; Moti Yung (CODASPY, 2011)

Efficient Circuit-Size Independent Public Key Encryption with KDM Security. - Tal Malkin; Isamu Teranishi; Moti Yung (EUROCRYPT, 2011)

Anonymous Credential with Attributes Certification after Registration. - Isamu Teranishi; Jun Furukawa 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Order-Preserving Encryption Secure Beyond One-Wayness. - Tal Malkin; Isamu Teranishi; Moti Yung (IACR Cryptol. ePrint Arch., 2013)

Continual Horizontal Federated Learning for Heterogeneous Data. - Junki Mori; Isamu Teranishi; Ryo Furukawa 003 (IJCNN, 2022)

Knowledge Cross-Distillation for Membership Privacy. - Rishav Chourasia; Batnyam Enkhtaivan; Kunihiro Ito; Junki Mori; Isamu Teranishi; Hikaru Tsuchida 001 (Proc. Priv. Enhancing Technol., 2022)

Heterogeneous Domain Adaptation with Positive and Unlabeled Data. - Junki Mori; Ryo Furukawa 003; Isamu Teranishi; Jun Sakuma (IEEE Big Data, 2023)

pGBF: Personalized Gradient Boosting Forest. - Batnyam Enkhtaivan; Isamu Teranishi (IJCNN, 2023)

Personalized Federated Learning with Multi-branch Architecture. - Junki Mori; Tomoyuki Yoshiyama; Ryo Furukawa 003; Isamu Teranishi (IJCNN, 2023)

Trojan attribute inference attack on gradient boosting decision trees. - Kunihiro Ito; Batnyam Enkhtaivan; Isamu Teranishi; Jun Sakuma (EuroS&P, 2024)

A Novel Confidence Score Exploiting Attacks on Classification Trees and Random Forest Classifiers. - Batnyam Enkhtaivan; Isamu Teranishi (IJCNN, 2024)

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

Survey of Privacy Threats and Countermeasures in Federated Learning. - Masahiro Hayashitani; Junki Mori; Isamu Teranishi (CoRR, 2024)

Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data. - Junki Mori; Kosuke Kihara; Taiki Miyagawa; Akinori F. Ebihara; Isamu Teranishi; Hisashi Kashima (WACV, 2025)