22 citations · 33 across the 4 of their papers we have counts for
4 papers
Two-Dimensional Dynamic Fusion for Continuous Authentication
Nuttapong Attrapadung, Goichiro Hanaoka, Haochen M. Kotoi-Xie +7
Continuous authentication has been widely studied to provide high security and usability for mobile devices by continuously monitoring and authenticating users. Recent studies adop…
Revisiting Fuzzy Signatures: Towards a More Risk-Free Cryptographic Authentication System based on Biometrics
Shuichi Katsumata, Takahiro Matsuda, Wataru Nakamura +2
Biometric authentication is one of the promising alternatives to standard password-based authentication offering better usability and security. In this work, we revisit the biometr…
Adam in Private: Secure and Fast Training of Deep Neural Networks with Adaptive Moment Estimation
Nuttapong Attrapadung, Koki Hamada, Dai Ikarashi +5
Privacy-preserving machine learning (PPML) aims at enabling machine learning (ML) algorithms to be used on sensitive data. We contribute to this line of research by proposing a fra…
MOBIUS: Model-Oblivious Binarized Neural Networks
Hiromasa Kitai, Jason Paul Cruz, Naoto Yanai +7
A privacy-preserving framework in which a computational resource provider receives encrypted data from a client and returns prediction results without decrypting the data, i.e., ob…