Kazuki Iwahana

14 papers Journal 8Unranked 6

Year	Rank	Type	Title / 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`	Backdoor Attacks by Leveraging Latent Representation in Competitive Learning for Resistance to Removal. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Kazuki Iwahana, Naoto Yanai, Atsuo Inomata, Toru Fujiwara
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	J	`jnl`	Robust Backdoor Removal by Reconstructing Trigger-Activated Changes in Latent Representation. CoRR Kazuki Iwahana, Yusuke Yamasaki, Akira Ito, Takayuki Miura, Toshiki Shibahara
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	J	`jnl`	A Study on Quantized Parameters for Protection of a Model and Its Inference Input. J. Inf. Process. Hiromasa Kitai, Naoto Yanai, Kazuki Iwahana, Masataka Tatsumi, Jason Paul Cruz
2023	—	`conf`	Backdoor Attacks Leveraging Latent Representation in Competitive Learning. ESORICS Workshops (2) Kazuki Iwahana, Naoto Yanai, Toru Fujiwara
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`	Sandbox AI: We Don't Trust Each Other but Want to Create New Value Efficiently Through Collaboration Using Sensitive Data. UbiComp/ISWC Adjunct Osamu Saisho, Keiichiro Kashiwagi, Sakiko Kawai, Kazuki Iwahana, Koki Mitani
2022	—	`conf`	MOTUS: How Quantized Parameters Improve Protection of Model and Its Inference Input. SecITC Hiromasa Kitai, Naoto Yanai, Kazuki Iwahana, Masataka Tatsumi, Jason Paul Cruz
2022	J	`jnl`	SPGC: Integration of Secure Multiparty Computation and Differential Privacy for Gradient Computation on Collaborative Learning. J. Inf. Process. Kazuki Iwahana, Naoto Yanai, Jason Paul Cruz, Toru Fujiwara
2021	J	`jnl`	First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data. CoRR Masataka Tasumi, Kazuki Iwahana, Naoto Yanai, Katsunari Shishido, Toshiya Shimizu, Yuji Higuchi, Ikuya Morikawa, Jun Yajima
2021	J	`jnl`	MADMAX: Browser-Based Malicious Domain Detection Through Extreme Learning Machine. IEEE Access Kazuki Iwahana, Tatsuya Takemura, Ju Chien Cheng, Nami Ashizawa, Naoki Umeda, Kodai Sato, Ryota Kawakami, Rei Shimizu, Yuichiro Chinen, Naoto Yanai
2021	—	`conf`	SPGC: An Integrated Framework of Secure Computation and Differential Privacy for Collaborative Learning. DPM/CBT@ESORICS Kazuki Iwahana, Naoto Yanai, Jason Paul Cruz, Toru Fujiwara