Takayuki Miura

27 papers A* 1B 1C 1Journal 14Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Active Synthetic Data Generation with Joint Consideration of Differential Privacy and Labeling Efficiency.
J. Inf. Process.
Osamu Saisho, Takayuki Miura, Kazuki Iwahana, Masanobu Kii, Rina Okada
2025 J jnl
Concept Unlearning in Large Language Models via Self-Constructed Knowledge Triplets.
CoRR
Tomoya Yamashita, Yuuki Yamanaka, Masanori Yamada, Takayuki Miura, Toshiki Shibahara, Tomoharu Iwata
2025 — conf
Efficient Privacy-Preserving Data Annotation via Active PrivBayes Synthetic Data Generation.
PerCom Workshops
Osamu Saisho, Takayuki Miura, Kazuki Iwahana, Masanobu Kii, Rina Okada
2025 — conf
Enhancing Jailbreak Resistance in Large Language Models Using Model Merge.
SP (Workshops)
Saki Hiromi, Hiroki Kinoshita, Masanori Yamada, Takayuki Miura
2025 — conf
Explaining and Visualizing Synthetic Data Quality Using Statistical Distances.
EuroS&P (Workshops)
Juko Yamamoto, Takayuki Miura, Rina Okada, Masanobu Kii, Atsunori Ichikawa
2025 J jnl
Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?
CoRR
Akira Ito, Takayuki Miura, Yosuke Todo
2025 J jnl
Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?
IACR Cryptol. ePrint Arch.
Akira Ito, Takayuki Miura, Yosuke Todo
2025 J jnl
Lightweight Two-Party Secure Sampling Protocol for Differential Privacy.
Proc. Priv. Enhancing Technol.
Masanobu Kii, Atsunori Ichikawa, Takayuki Miura
2025 — conf
Membership Inference Attack Against Bayesian Neural Network.
ICC
Toshiki Shibahara, Takayuki Miura, Masanobu Kii, Atsunori Ichikawa
2025 A* conf
Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference.
ICML
Yusuke Yamasaki, Kenta Niwa, Daiki Chijiwa, Takumi Fukami, Takayuki Miura
2025 J jnl
Quo Vadis Diffusion Model? A Case for Membership Inference Attacks.
IEICE Trans. Inf. Syst.
Tomoya Matsumoto, Takayuki Miura, Shingo Okamura, Behrouz Zolfaghari, Naoto Yanai
2025 J jnl
Robust Backdoor Removal by Reconstructing Trigger-Activated Changes in Latent Representation.
CoRR
Kazuki Iwahana, Yusuke Yamasaki, Akira Ito, Takayuki Miura, Toshiki Shibahara
2025 J jnl
Sparse-Autoencoder-Guided Internal Representation Unlearning for Large Language Models.
CoRR
Tomoya Yamashita, Akira Ito, Yuuki Yamanaka, Masanori Yamada, Takayuki Miura, Toshiki Shibahara
2024 B conf
Efficiently Calculating Stronger Lower Bound for Differentially Private SGD in Black-Box Setting.
COMPSAC
Toshiki Shibahara, Takayuki Miura, Masanobu Kii, Atsunori Ichikawa
2024 — conf
Evaluating Synthetic Data Generation Techniques for Medical Dataset.
BIOSTEC (2)
Takayuki Miura, Eizen Kimura, Atsunori Ichikawa, Masanobu Kii, Juko Yamamoto
2024 — conf
Leveraging Timestamps to Create Secure and Feeless Evidence Management.
Blockchain
Iifan Tyou, Shigenori Ohashi, Justin Yu, Takayuki Miura, Takuro Hosoi, Kanta Matsuura
2024 — conf
MEGEX: Data-Free Model Extraction Attack Against Gradient-Based Explainable AI.
SecTL@AsiaCCS
Takayuki Miura, Toshiki Shibahara, Naoto Yanai
2024 J jnl
REN-A.I.: A Video Game for AI Security Education Leveraging Episodic Memory.
IEEE Access
Mine Arai, Koki Tejima, Yuya Yamada, Takayuki Miura, Kyosuke Yamashita, Chihiro Kado, Rei Shimizu, Masataka Tatsumi, Naoto Yanai, Goichiro Hanaoka
2024 J jnl
SETSUBUN: Revisiting Membership Inference Game for Evaluating Synthetic Data Generation.
J. Inf. Process.
Takayuki Miura, Masanobu Kii, Toshiki Shibahara, Kazuki Iwahana, Tetsuya Okuda, Atsunori Ichikawa, Naoto Yanai
2023 — conf
Can Inputs' Reconstruction Information Be Coded into Machine Learning Model's Outputs?
ESORICS Workshops (2)
Kazuki Iwahana, Osamu Saisho, Takayuki Miura, Akira Ito
2023 — conf
Membership Inference Attacks against Diffusion Models.
SP (Workshops)
Tomoya Matsumoto, Takayuki Miura, Naoto Yanai
2023 J jnl
Membership Inference Attacks against Diffusion Models.
CoRR
Tomoya Matsumoto, Takayuki Miura, Naoto Yanai
2023 J jnl
On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation.
CoRR
Takayuki Miura, Toshiki Shibahara, Masanobu Kii, Atsunori Ichikawa, Juko Yamamoto, Koji Chida
2023 J jnl
On Rényi Differential Privacy in Statistics-based Synthetic Data Generation.
J. Inf. Process.
Takayuki Miura, Toshiki Shibahara, Masanobu Kii, Atsunori Ichikawa, Juko Yamamoto, Koji Chida
2021 J jnl
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI.
CoRR
Takayuki Miura, Satoshi Hasegawa, Toshiki Shibahara
2020 C conf
Differential Privacy and Its Applicability for Official Statistics in Japan - A Comparative Study Using Small Area Data from the Japanese Population Census.
PSD
Shinsuke Ito, Takayuki Miura, Hiroto Akatsuka, Masayuki Terada
2016 — conf
Designing Affordances for Virtual Reality-Based Services with Natural User Interaction.
HCI (18)
Takayuki Miura, Akihito Yoshii, Tatsuo Nakajima