| First to possess his statistics: Data-free model extraction attack on tabular data M Tasumi, K Iwahana, N Yanai, K Shishido, T Shimizu, Y Higuchi, ... arXiv preprint arXiv:2109.14857, 2021 | 8 | 2021 |
| MADMAX: browser-based malicious domain detection through extreme learning machine K Iwahana, T Takemura, JC Cheng, N Ashizawa, N Umeda, K Sato, ... IEEE Access 9, 78293-78314, 2021 | 7 | 2021 |
| SPGC: integration of secure multiparty computation and differential privacy for gradient computation on collaborative learning K Iwahana, N Yanai, JP Cruz, T Fujiwara Journal of Information Processing 30, 209-225, 2022 | 5 | 2022 |
| Sandbox AI: We Don't Trust Each Other but Want to Create New Value Efficiently Through Collaboration Using Sensitive Data O Saisho, K Kashiwagi, S Kawai, K Iwahana, K Mitani Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023 | 2 | 2023 |
| MOTUS: How Quantized Parameters Improve Protection of Model and Its Inference Input H Kitai, N Yanai, K Iwahana, M Tatsumi, JP Cruz International Conference on Information Technology and Communications …, 2022 | 2 | 2022 |
| SPGC: An Integrated Framework of Secure Computation and Differential Privacy for Collaborative Learning K Iwahana, N Yanai, JP Cruz, T Fujiwara International Workshop on Data Privacy Management, 89-105, 2021 | 2 | 2021 |
| Backdoor Attacks Leveraging Latent Representation in Competitive Learning K Iwahana, N Yanai, T Fujiwara European Symposium on Research in Computer Security, 700-718, 2023 | 1 | 2023 |
| Backdoor Attacks by Leveraging Latent Representation in Competitive Learning for Resistance to Removal K IWAHANA, N YANAI, A INOMATA, T FUJIWARA IEICE Transactions on Fundamentals of Electronics, Communications and …, 2024 | | 2024 |
| SETSUBUN: Revisiting Membership Inference Game for Evaluating Synthetic Data Generation T Miura, M Kii, T Shibahara, K Iwahana, T Okuda, A Ichikawa, N Yanai Journal of Information Processing 32, 757-766, 2024 | | 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 |
| Check for updates MOTUS: How Quantized Parameters Improve Protection of Model and Its Inference Input H Kitai, N Yanai, K Iwahana, M Tatsumi, JP Cruz Innovative Security Solutions for Information Technology and Communications …, 2023 | | 2023 |
| A Study on Quantized Parameters for Protection of a Model and Its Inference Input H Kitai, N Yanai, K Iwahana, M Tatsumi, JP Cruz Journal of Information Processing 31, 667-678, 2023 | | 2023 |
| Differentially Private Sequential Data Synthesis with Structured State Space Models and Diffusion Models T Matsumoto, T Miura, T Shibahara, M Kii, K Iwahana, O Saisho, ... Neurips Safe Generative AI Workshop 2024, 0 | | |
