| 2026 | CRYPTO | Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial? | Akira Ito, Takayuki Miura, Yosuke Todo |
| 2025 | ICML | Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference. | Yusuke Yamasaki, Kenta Niwa, Daiki Chijiwa, Takumi Fukami, Takayuki Miura |
| 2025 | PERCOM | Efficient Privacy-Preserving Data Annotation via Active PrivBayes Synthetic Data Generation. | Osamu Saisho, Takayuki Miura, Kazuki Iwahana, Masanobu Kii, Rina Okada |
| 2025 | SP | Enhancing Jailbreak Resistance in Large Language Models Using Model Merge. | Saki Hiromi, Hiroki Kinoshita, Masanori Yamada, Takayuki Miura |
| 2024 | COMPSAC | Efficiently Calculating Stronger Lower Bound for Differentially Private SGD in Black-Box Setting. | Toshiki Shibahara, Takayuki Miura, Masanobu Kii, Atsunori Ichikawa |
| 2023 | ESORICS | Can Inputs' Reconstruction Information Be Coded into Machine Learning Model's Outputs? | Kazuki Iwahana, Osamu Saisho, Takayuki Miura, Akira Ito |
| 2023 | SP | Membership Inference Attacks against Diffusion Models. | Tomoya Matsumoto, Takayuki Miura, Naoto Yanai |
| 2020 | PSD | Differential Privacy and Its Applicability for Official Statistics in Japan - A Comparative Study Using Small Area Data from the Japanese Population Census. | Shinsuke Ito, Takayuki Miura, Hiroto Akatsuka, Masayuki Terada |
| 2016 | HCI | Designing Affordances for Virtual Reality-Based Services with Natural User Interaction. | Takayuki Miura, Akihito Yoshii, Tatsuo Nakajima |