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Kazuki Iwahana
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 9
Top Topics
Differential Privacy
Tabular Data
Collaborative Learning
Differentially Private
Top Venues
ESORICS Workshops (2)
J. Inf. Process.
UbiComp/ISWC Adjunct
CoRR
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Publications
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Hiromasa Kitai
,
Naoto Yanai
,
Kazuki Iwahana
,
Masataka Tatsumi
,
Jason Paul Cruz
A Study on Quantized Parameters for Protection of a Model and Its Inference Input.
J. Inf. Process.
31 (2023)
Osamu Saisho
,
Keiichiro Kashiwagi
,
Sakiko Kawai
,
Kazuki Iwahana
,
Koki Mitani
Sandbox AI: We Don't Trust Each Other but Want to Create New Value Efficiently Through Collaboration Using Sensitive Data.
UbiComp/ISWC Adjunct
(2023)
Kazuki Iwahana
,
Osamu Saisho
,
Takayuki Miura
,
Akira Ito
Can Inputs' Reconstruction Information Be Coded into Machine Learning Model's Outputs?
ESORICS Workshops (2)
(2023)
Kazuki Iwahana
,
Naoto Yanai
,
Toru Fujiwara
Backdoor Attacks Leveraging Latent Representation in Competitive Learning.
ESORICS Workshops (2)
(2023)
Kazuki Iwahana
,
Naoto Yanai
,
Jason Paul Cruz
,
Toru Fujiwara
SPGC: Integration of Secure Multiparty Computation and Differential Privacy for Gradient Computation on Collaborative Learning.
J. Inf. Process.
30 (2022)
Hiromasa Kitai
,
Naoto Yanai
,
Kazuki Iwahana
,
Masataka Tatsumi
,
Jason Paul Cruz
MOTUS: How Quantized Parameters Improve Protection of Model and Its Inference Input.
SecITC
(2022)
Masataka Tasumi
,
Kazuki Iwahana
,
Naoto Yanai
,
Katsunari Shishido
,
Toshiya Shimizu
,
Yuji Higuchi
,
Ikuya Morikawa
,
Jun Yajima
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data.
CoRR
(2021)
Kazuki Iwahana
,
Naoto Yanai
,
Jason Paul Cruz
,
Toru Fujiwara
SPGC: An Integrated Framework of Secure Computation and Differential Privacy for Collaborative Learning.
DPM/CBT@ESORICS
(2021)
Kazuki Iwahana
,
Tatsuya Takemura
,
Ju Chien Cheng
,
Nami Ashizawa
,
Naoki Umeda
,
Kodai Sato
,
Ryota Kawakami
,
Rei Shimizu
,
Yuichiro Chinen
,
Naoto Yanai
MADMAX: Browser-Based Malicious Domain Detection Through Extreme Learning Machine.
IEEE Access
9 (2021)