Jun Sakuma

发表

Generate (non-software) Bugs to Fool Classifiers

Hiromu Yakura, Youhei Akimoto, Jun Sakuma, 2020, AAAI.

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2014, RecSys Posters.

Instance-based Policy Learning by Real-coded Genetic Algorithms and Its Application to Control of Nonholonomic Systems

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2009 .

Locally Differentially Private Minimum Finding pdf

Jun Sakuma, Kazuto Fukuchi, Chia-Mu Yu, 2019, ArXiv.

A genetic algorithm for privacy preserving combinatorial optimization

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2007, GECCO '07.

Outsourced Private Function Evaluation with Privacy Policy Enforcement

Jun Sakuma, Takashi Nishide, Wenjie Lu, 2018, 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

A new real-coded genetic algorithm using the adaptive selection network for detecting multiple optima

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2009, 2009 IEEE Congress on Evolutionary Computation.

Privacy-Preserving Hypothesis Testing for the Analysis of Epidemiological Medical Data

Jun Sakuma, Hiroaki Kikuchi, Tomoki Sato, 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.

Malware Analysis of Imaged Binary Samples by Convolutional Neural Network with Attention Mechanism

Hiromu Yakura, Jun Sakuma, Yoshihiro Oyama, 2018, CODASPY.

A Study from the Data Anonymization Competition Pwscup 2015

Jun Sakuma, Yuji Yamaoka, Koki Hamada, 2016, DPM/QASA@ESORICS.

Mis-operation Resistant Searchable Homomorphic Encryption

Jun Sakuma, Keita Emura, Noboru Kunihiro, 2017, AsiaCCS.

Fairness-aware Learning through Regularization Approach

Jun Sakuma, Shotaro Akaho, Toshihiro Kamishima, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

An Effective Rule Based Policy Representation and its Optimization using Inter Normal Distribution Crossover

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2005, WSTST.

Adaptation of expansion rate for real-coded crossovers

Isao Ono, Shigenobu Kobayashi, Youhei Akimoto, 2009, GECCO.

Applicability of existing anonymization methods to large location history data in urban travel

Katsumi Takahashi, Jun Sakuma, Koki Hamada, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Real-coded GA for High-dimensional k-tablet Structures

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2004 .

Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation

Isao Ono, Shigenobu Kobayashi, Youhei Akimoto, 2008, GECCO '08.

Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case

Jun Sakuma, Kazuto Fukuchi, 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization pdf

Jun Sakuma, Ichiro Takeuchi, Hiroyuki Hanada, 2016, ACML.

The Independence of Fairness-Aware Classifiers

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Peer-to-Peer k-meansクラスタリング Privacy-aware k-means Clustering in Peer-to-Peer Network

Shigenobu Kobayashi, Jun Sakuma, J. Sakuma, 2007 .

Neutralized Empirical Risk Minimization with Generalization Neutrality Bound

Jun Sakuma, Kazuto Fukuchi, Kazuto Fukuchi, 2014, ECML/PKDD.

Fairy ring: Ubiquitous secure multiparty computation framework for smartphone applications

Jun Sakuma, Tadanori Teruya, Yoshiki Aoki, 2016, 2016 International Symposium on Information Theory and Its Applications (ISITA).

Neural malware analysis with attention mechanism

Hiromu Yakura, Jun Sakuma, Yoshihiro Oyama, 2019, Comput. Secur..

Real-coded Crossovers as a Role of Kernel Density Estimator

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2007 .

Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection

Jun Sakuma, Rebecca N. Wright, Jun Sakuma, 2009, ACML.

Differentially Private Chi-squared Test by Unit Circle Mechanism

Jun Sakuma, Kazuto Fukuchi, Kazuya Kakizaki, 2017, ICML.

Study on Record Linkage of Anonymizied Data

Jun Sakuma, Yuji Yamaoka, Koki Hamada, 2018, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

An information theoretic approach to detection of minority subsets

Shigenobu Kobayashi, Jun Sakuma, Einoshin Suzuki, 2007 .

AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment pdf

Youhei Akimoto, Jun Sakuma, Rei Sato, 2020, ArXiv.

Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2007, EMO.

Privacy-Preserving Local Search for the Traveling Salesman Problem

Shigenobu Kobayashi, Jun Sakuma, 2010 .

Privacy-Preserving Statistical Analysis by Exact Logistic Regression

Jun Sakuma, Koji Tsuda, David duVerle, 2015, 2015 IEEE Security and Privacy Workshops.

Link analysis for private weighted graphs

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2009, SIGIR.

Ice and Fire: Quantifying the Risk of Re-identification and Utility in Data Anonymization

Jun Sakuma, Yuji Yamaoka, Koki Hamada, 2016, 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA).

Privacy-preserving reinforcement learning

Shigenobu Kobayashi, Jun Sakuma, Rebecca N. Wright, 2008, ICML '08.

Fast approximate similarity search in extremely high-dimensional data sets

Jun Sakuma, Michael E. Houle, J. Sakuma, 2005, 21st International Conference on Data Engineering (ICDE'05).

Malware Analysis of Imaged Binary Samples by Convolutional Neural Network with Attention Mechanism

Hiromu Yakura, Jun Sakuma, Yoshihiro Oyama, 2017, AISec@CCS.

Privacy-Preserving Dose-Response Relationship Test

Jun Sakuma, Hiroaki Kikuchi, Tomoki Sato, 2014, 2014 17th International Conference on Network-Based Information Systems.

Bloom Filter Bootstrap: Privacy-Preserving Estimation of the Size of an Intersection

Jun Sakuma, Hiroaki Kikuchi, 2013, DBSec.

Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA

Naoki Hamada, Isao Ono, Shigenobu Kobayashi, 2008, PPSN.

Bloom Filter Bootstrap: Privacy-Preserving Estimation of the Size of an Intersection

Jun Sakuma, Hiroaki Kikuchi, 2014, J. Inf. Process..

Enhancement of the Neutrality in Recommendation

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2012, Decisions@RecSys.

Considerations on Fairness-Aware Data Mining

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences pdf

Jun Sakuma, Kazuto Fukuchi, 2015, ArXiv.

Recommendation with k-Anonymized Ratings pdf

Jun Sakuma, Tatsuya Osame, 2018, Trans. Data Priv..

Real-coded crossover as a role of kernel density estimation

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2005, GECCO '05.

Large-scale k-means clustering with user-centric privacy-preservation

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2010, Knowledge and Information Systems.

A scheme for privacy-preserving ontology mapping

Fan Zhang, Hiroyuki Kitagawa, Jun Sakuma, 2014, IDEAS.

Privacy-preserving genome-wide association studies on cloud environment using fully homomorphic encryption

Jun Sakuma, Yoshiji Yamada, Wen-Jie Lu, 2015, BMC Medical Informatics and Decision Making.

Fairness-Aware Classifier with Prejudice Remover Regularizer

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2012, ECML/PKDD.

Privacy Preserving Semi-supervised Learning for Labeled Graphs

Jun Sakuma, Hiromi Arai, Jun Sakuma, 2011, ECML/PKDD.

Adaptive isolation model using data clustering for multimodal function optimization

Shigenobu Kobayashi, Jun Sakuma, Shin Ando, 2005, GECCO '05.

Differentially Private Analysis of Outliers pdf

Jun Sakuma, Kazuto Fukuchi, Rina Okada, 2015, ECML/PKDD.

Large-Scale k-Means Clustering with User-Centric Privacy Preservation

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2008, PAKDD.

Efficiency Improvement of Neutrality-Enhanced Recommendation

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2013, Decisions@RecSys.

Privacy-preserving search for chemical compound databases

Jun Sakuma, Koji Nuida, Goichiro Hanaoka, 2015 .

Local Search for Multiobjective Function Optimization: Pareto Descent Method

Isao Ono, Shigenobu Kobayashi, Kokolo Ikeda, 2006 .

Analysis of The Behavior of MGG and JGG As A Selection Model for Real-coded Genetic Algorithms

Isao Ono, Shigenobu Kobayashi, Youhei Akimoto, 2010 .

Privacy-preserving and Optimal Interval Release for Disease Susceptibility

Jun Sakuma, Ichiro Takeuchi, Kosuke Kusano, 2017, AsiaCCS.

Robust Watermarking of Neural Network with Exponential Weighting

Jun Sakuma, Ryota Namba, Jun Sakuma, 2019, AsiaCCS.

Round-Efficient Private Stable Matching from Additive Homomorphic Encryption

Jun Sakuma, Tadanori Teruya, 2013, ISC.

Recommendation Independence

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2018, FAT.

Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization pdf

Jun Sakuma, Ichiro Takeuchi, Hiroyuki Hanada, 2016, ArXiv.

Towards Privacy-Preserving Record Linkage with Record-Wise Linkage Policy

Jun Sakuma, Toshiyuki Amagasa, Wenjie Lu, 2017, DEXA.

General-to-Detailed GAN for Infrequent Class Medical Images pdf

Jun Sakuma, Naoki Nonaka, Jun Seita, 2018, ArXiv.

Model-based and actual independence for fairness-aware classification

Jun Sakuma, Shotaro Akaho, Hideki Asoh, 2017, Data Mining and Knowledge Discovery.

Oblivious Evaluation of Non-deterministic Finite Automata with Application to Privacy-Preserving Virus Genome Detection

Hiroki Arimura, Jun Sakuma, Koji Tsuda, 2014, WPES.

Deep generative model for non-convex constraint handling

Jun Sakuma, Kazuto Fukuchi, Naoki Sakamoto, 2020, GECCO.

Constraint-Handling Method for Function Optimization : Pareto Descent Repair Operator

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2007 .

Seasonal-adjustment Based Feature Selection Method for Large-scale Search Engine Logs pdf

Jun Sakuma, Thien Q. Tran, 2020, ArXiv.

Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2007, GECCO '07.

Differentially Private Semi-Supervised Classification

Jun Sakuma, Xu Long, Jun Sakuma, 2017, 2017 IEEE International Conference on Smart Computing (SMARTCOMP).

k-tablet Structures and Crossover on Latent Variables for Real-Coded GA

Shigenobu Kobayashi, Jun Sakuma, 2002, GECCO Late Breaking Papers.

Proposal and Evaluation of Functionally Specialized CMA-ES

Isao Ono, Shigenobu Kobayashi, Youhei Akimoto, 2009 .

Robust Audio Adversarial Example for a Physical Attack

Hiromu Yakura, Jun Sakuma, Jun Sakuma, 2018, IJCAI.

Message from the BITS 2018 General Chairs and TPC Chairs

Mauro Conti, Jun Sakuma, Atsuko Miyaji, 2018 .

Collusion-resistant privacy-preserving data mining

Hiroshi Nakagawa, Jun Sakuma, Bin Yang, 2010, KDD.

Prediction with Model-Based Neutrality

Jun Sakuma, Toshihiro Kamishima, Kazuto Fukuchi, 2013, ECML/PKDD.

Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment

Isao Ono, Shigenobu Kobayashi, Kokolo Ikeda, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Toward Distribution Estimation under Local Differential Privacy with Small Samples

Jun Sakuma, Hideitsu Hino, Takao Murakami, 2018, Proc. Priv. Enhancing Technol..

Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data

Jun Sakuma, Wenjie Lu, Shohei Kawasaki, 2016, NDSS.

Differentially Private Empirical Risk Minimization with Input Perturbation pdf

Jun Sakuma, Kazuto Fukuchi, Quang Khai Tran, 2017, DS.

An Evolutionary Algorithm for Optimizing Functions with UV Structures

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs

Jun Sakuma, Thien Q. Tran, Jun Sakuma, 2019, KDD.

Prediction with Model-Based Neutrality

Jun Sakuma, Toshihiro Kamishima, Kazuto Fukuchi, 2015 .

２段階GA ``Solid EMO'' によるレンズ系設計

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2008 .

Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOX

Shigenobu Kobayashi, Jun Sakuma, Shigenobu Kobayashi, 2000, GECCO.

Efficient Secure Outsourcing of Genome-Wide Association Studies

Jun Sakuma, Wenjie Lu, Yoshiji Yamada, 2015, 2015 IEEE Security and Privacy Workshops.

Online Prediction with Privacy

Jun Sakuma, Hiromi Arai, Jun Sakuma, 2010, ICML.

Privacy-Preserving Protocol for Epidemiology in Effect of Radiation

Jun Sakuma, Hiroaki Kikuchi, Tomoki Sato, 2013, 2013 Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment

Jun Sakuma, Ichiro Takeuchi, Hiroyuki Hanada, 2018, AAAI.

Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values pdf

Jun Sakuma, Ichiro Takeuchi, Hiroyuki Hanada, 2018, ArXiv.

Faster Multiplication Triplet Generation from Homomorphic Encryption for Practical Privacy-Preserving Machine Learning under a Narrow Bandwidth

Jun Sakuma, Wenjie Lu, Jun Sakuma, 2018, IACR Cryptol. ePrint Arch..

Non-interactive and Output Expressive Private Comparison from Homomorphic Encryption

Jun Sakuma, Wenjie Lu, Jun-Jie Zhou, 2018, AsiaCCS.

A New Real-coded Genetic Algorithm with an Adaptive Mating Selection for UV-landscapes

Isao Ono, Shigenobu Kobayashi, Jun Sakuma, 2010 .

Multi Criteria Reinforcement Learning Based on Goal-directed Exploration and its Application to Bipedal Walking Robot

Shigenobu Kobayashi, Kokolo Ikeda, Jun Sakuma, 2005 .