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Kana Shimizu
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2020 – today
- 2024
- [c16]Kohei Hashimoto
, Kana Shimizu
Enhancing Privacy Protection for Human Genome Synthesis Using Gradient Clipping. BCB 2024: 37:1-37:6 - [c15]Shusuke Shirotake, Kana Shimizu
Efficient Privacy Preserving Range Query Using Segment Tree. CISS 2024: 1-6 - [c14]Tomoki Uchiyama
Secure Full-Text Search Using Function Secret Sharing. WPES@CCS 2024: 59-72 - 2023
- [j14]Nozomi Hasegawa, Kana Shimizu
Efficient Colored de Bruijn Graph for Indexing Reads. J. Comput. Biol. 30(6): 648-662 (2023) - 2022
- [j13]Yoshiki Nakagawa, Satsuya Ohata, Kana Shimizu
Efficient privacy-preserving variable-length substring match for genome sequence. Algorithms Mol. Biol. 17(1): 9 (2022) - [c13]Mohammad Nabil Ahmed
Private Evaluation of a Decision Tree Based on Secret Sharing. ICISC 2022: 171-194 - 2021
- [c12]Yoshiki Nakagawa, Satsuya Ohata, Kana Shimizu
Efficient Privacy-Preserving Variable-Length Substring Match for Genome Sequence. WABI 2021: 2:1-2:23 - 2020
- [i3]Mikko A. Heikkilä, Antti Koskela, Kana Shimizu, Samuel Kaski, Antti Honkela:
Differentially private cross-silo federated learning. CoRR abs/2007.05553 (2020)
2010 – 2019
- 2019
- [j12]Hiroki Sudo
Secure Wavelet Matrix: Alphabet-Friendly Privacy-Preserving String Search for Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1675-1684 (2019) - [c11]Keren Jiang, Di Zhang, Tsubasa Iino, Risa Kimura, Tatsuo Nakajima, Kana Shimizu
A playful tool for predicting protein-protein docking. MUM 2019: 40:1-40:5 - [i2]Hiroki Sudo, Koji Nuida, Kana Shimizu:
An Efficient Private Evaluation of a Decision Graph. IACR Cryptol. ePrint Arch. 2019: 325 (2019) - 2018
- [c10]Nuttapong Attrapadung, Goichiro Hanaoka, Shigeo Mitsunari, Yusuke Sakai, Kana Shimizu, Tadanori Teruya:
Efficient Two-level Homomorphic Encryption in Prime-order Bilinear Groups and A Fast Implementation in WebAssembly. AsiaCCS 2018: 685-697 - [c9]Hiroki Sudo
An Efficient Private Evaluation of a Decision Graph. ICISC 2018: 143-160 - [c8]Hiraku Morita
Secure Division Protocol and Applications to Privacy-preserving Chi-squared Tests. ISITA 2018: 530-534 - [c7]Kana Shimizu, Tomohiro Shirai, Yuichi Matsushima, Hiroshi Ishikawa, Katsuyuki Utaka:
Simultaneous High-speed and Polarization-Independent Switching Operation of 2x2 Silicon Mach-Zehnder-Type Optical Switch. PSC 2018: 1-3 - 2017
- [c6]Mikko A. Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela:
Differentially private Bayesian learning on distributed data. NIPS 2017: 3226-3235 - [i1]Mikko A. Heikkilä, Yusuke Okimoto, Samuel Kaski, Kana Shimizu, Antti Honkela:
Differentially Private Bayesian Learning on Distributed Data. CoRR abs/1703.01106 (2017) - 2016
- [j11]Kana Shimizu
Efficient privacy-preserving string search and an application in genomics. Bioinform. 32(11): 1652-1661 (2016) - [c5]Yu Ishimaki, Hiroki Imabayashi, Kana Shimizu
Privacy-preserving string search for genome sequences with FHE bootstrapping optimization. IEEE BigData 2016: 3989-3991 - 2015
- [j10]Kana Shimizu, Koji Nuida, Hiromi Arai, Shigeo Mitsunari, Nuttapong Attrapadung, Michiaki Hamada, Koji Tsuda, Takatsugu Hirokawa, Jun Sakuma, Goichiro Hanaoka, Kiyoshi Asai:
Privacy-preserving search for chemical compound databases. BMC Bioinform. 16(S18): S6 (2015) - [c4]Tadanori Teruya
On Limitations and Alternatives of Privacy-Preserving Cryptographic Protocols for Genomic Data. IWSEC 2015: 242-261 - 2014
- [j9]Edward Wijaya, Kana Shimizu
Reference-free prediction of rearrangement breakpoint reads. Bioinform. 30(18): 2559-2567 (2014) - 2012
- [j8]Jun-Ichi Ito, Yasuo Tabei, Kana Shimizu
PoSSuM: a database of similar protein-ligand binding and putative pockets. Nucleic Acids Res. 40(Database-Issue): 541-548 (2012) - 2011
- [j7]Kana Shimizu
SlideSort: all pairs similarity search for short reads. Bioinform. 27(4): 464-470 (2011) - [j6]Chie Motono, Junichi Nakata, Ryotaro Koike, Kana Shimizu
SAHG, a comprehensive database of predicted structures of all human proteins. Nucleic Acids Res. 39(Database-Issue): 487-493 (2011) - 2010
- [j5]Shuichi Hirose, Kana Shimizu
POODLE-I: Disordered Region Prediction by Integrating POODLE Series and Structural Information Predictors Based on a Workflow Approach. Silico Biol. 10(3-4): 185-191 (2010)
2000 – 2009
- 2007
- [j4]Shuichi Hirose, Kana Shimizu
POODLE-L: a two-level SVM prediction system for reliably predicting long disordered regions. Bioinform. 23(16): 2046-2053 (2007) - [j3]Kana Shimizu
POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix. Bioinform. 23(17): 2337-2338 (2007) - [j2]Kana Shimizu
Predicting mostly disordered proteins by using structure-unknown protein data. BMC Bioinform. 8 (2007) - 2006
- [j1]Kana Shimizu
Angle: a Sequencing Errors Resistant Program for Predicting Protein Coding Regions in Unfinished Cdna. J. Bioinform. Comput. Biol. 4(3): 649-664 (2006) - 2005
- [c3]Kana Shimizu, Yoichi Muraoka, Shuichi Hirose, Tamotsu Noguchi:
Feature Selection Based on Physicochemical Properties of Redefined N-term Region and C-term Regions for Predicting Disorder. CIBCB 2005: 262-267 - 2002
- [c2]Tomonari Sonoda, Toshiya Ikenaga, Kana Shimizu, Yoichi Muraoka:
A melody retrieval system on parallelized computers. IWEC 2002: 265-272 - [c1]Tomonari Sonoda, Toshiya Ikenaga, Kana Shimizu
The Design Method of a Melody Retrieval System on Parallelized Computers. WEDELMUSIC 2002: 66-73
Coauthor Index
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