Megex: Data-free model extraction attack against gradient-based explainable ai T Miura, T Shibahara, N Yanai Proceedings of the 2nd ACM Workshop on Secure and Trustworthy Deep Learning …, 2024 | 32 | 2024 |
Membership inference attacks against diffusion models T Matsumoto, T Miura, N Yanai 2023 IEEE Security and Privacy Workshops (SPW), 77-83, 2023 | 31 | 2023 |
Differential privacy and its applicability for official statistics in Japan–a comparative study using small area data from the Japanese population census S Ito, T Miura, H Akatsuka, M Terada Privacy in Statistical Databases: UNESCO Chair in Data Privacy …, 2020 | 4 | 2020 |
REN-AI: A Video Game for AI Security Education Leveraging Episodic Memory M Arai, K Tejima, Y Yamada, T Miura, K Yamashita, C Kado, R Shimizu, ... IEEE Access, 2024 | 2 | 2024 |
Classification of del Pezzo surfaces with - and -singularities T Miura arXiv preprint arXiv:1903.00679, 2019 | 2* | 2019 |
Information processing apparatus, conversion method and program T Miura, S Hasegawa US Patent App. 18/554,672, 2024 | | 2024 |
Optimization apparatus, optimization method, and program S Hasegawa, T Miura US Patent App. 18/555,096, 2024 | | 2024 |
Evaluating Synthetic Data Generation Techniques for Medical Dataset T Miura, E Kimura, A Ichikawa, M Kii, J Yamamoto | | 2024 |
Can Inputs’ Reconstruction Information Be Coded into Machine Learning Model’s Outputs? K Iwahana, O Saisho, T Miura, A Ito European Symposium on Research in Computer Security, 665-682, 2023 | | 2023 |
On Rényi Differential Privacy in Statistics-based Synthetic Data Generation T Miura, T Shibahara, M Kii, A Ichikawa, J Yamamoto, K Chida Journal of Information Processing 31, 812-820, 2023 | | 2023 |
Retention-replacement probability generation device, retention-replacement perturbation device, retention-replacement probability generation method, retention-replacement … T Miura, S Hasegawa US Patent App. 17/765,441, 2022 | | 2022 |
Identification estimate risk evaluation apparatus, identification estimate risk evaluation method, and program S Hasegawa, T Miura US Patent App. 17/764,203, 2022 | | 2022 |
Individual Fairness of Data Provider Regarding Privacy Risk and Gain T Shibahara, T Miura, M Kii, A Ichikawa | | |