MDL

Machine Learning
Data Mining
Lab

Publications

1. Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions.

Kazuto Fukuchi, Jun Sakuma, CoRR, Informal and Other Publications (2017)

2. Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization.

Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi, CoRR, Informal and Other Publications (2016)

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

Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi, CoRR, Informal and Other Publications (2016)

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

Wenjie Lu, Shohei Kawasaki, Jun Sakuma, IACR Cryptology ePrint Archive, Informal and Other Publications (2016)

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

Kazuto Fukuchi, Jun Sakuma, CoRR, Informal and Other Publications (2015)

6. Differentially Private Analysis of Outliers.

Rina Okada, Kazuto Fukuchi, Kazuya Kakizaki, Jun Sakuma, CoRR, Informal and Other Publications (2015)

7. Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization.

Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi, ACML, Conference and Workshop Papers (2016)

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

Hiroaki Kikuchi, Takayasu Yamaguchi, Koki Hamada, Yuji Yamaoka, Hidenobu Oguri, Jun Sakuma, AINA, Conference and Workshop Papers (2016)

9. A Study from the Data Anonymization Competition Pwscup 2015.

Hiroaki Kikuchi, Takayasu Yamaguchi, Koki Hamada, Yuji Yamaoka, Hidenobu Oguri, Jun Sakuma, DPM/QASA@ESORICS, Conference and Workshop Papers (2016)

10. Fairy ring:Ubiquitous secure multiparty computation framework for smartphone applications.

Tadanori Teruya, Yoshiki Aoki, Jun Sakuma, ISITA, Conference and Workshop Papers (2016)

11. Differentially Private Analysis of Outliers.

Rina Okada, Kazuto Fukuchi, Jun Sakuma, ECML/PKDD (2), Conference and Workshop Papers (2015)

12. Efficient Secure Outsourcing of Genome-Wide Association Studies.

Wenjie Lu, Yoshiji Yamada, Jun Sakuma, IEEE Symposium on Security and Privacy Workshops, Conference and Workshop Papers (2015)

13. Privacy-Preserving Statistical Analysis by Exact Logistic Regression.

David A. duVerle, Shohei Kawasaki, Yoshiji Yamada, Jun Sakuma, Koji Tsuda, IEEE Symposium on Security and Privacy Workshops, Conference and Workshop Papers (2015)

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

Hiroaki Kikuchi, Tomoki Sato, Jun Sakuma, AINA, Conference and Workshop Papers (2014)

15. A scheme for privacy-preserving ontology mapping.

Toshiyuki Amagasa, Fan Zhang, Jun Sakuma, Hiroyuki Kitagawa, IDEAS, Conference and Workshop Papers (2014)

16. Privacy-Preserving Dose-Response Relationship Test.

Hiroaki Kikuchi, Tomoki Sato, Jun Sakuma, NBiS, Conference and Workshop Papers (2014)

17. Neutralized Empirical Risk Minimization with Generalization Neutrality Bound.

Kazuto Fukuchi, Jun Sakuma, ECML/PKDD (1), Conference and Workshop Papers (2014)

18. Correcting Popularity Bias by Enhancing Recommendation Neutrality.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma, RecSys Posters, Conference and Workshop Papers (2014)

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

Hirohito Sasakawa, Hiroki Harada, David duVerle, Hiroki Arimura, Koji Tsuda, Jun Sakuma, WPES, Conference and Workshop Papers (2014)

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

Hiroaki Kikuchi, Jun Sakuma, DBSec, Conference and Workshop Papers (2013)

21. The Independence of Fairness-Aware Classifiers.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma, ICDM Workshops, Conference and Workshop Papers (2013)

22. Privacy-Preserving Protocol for Epidemiology in Effect of Radiation.

Hiroaki Kikuchi, Tomoki Sato, Jun Sakuma, IMIS, Conference and Workshop Papers (2013)

23. Round-Efficient Private Stable Matching from Additive Homomorphic Encryption.

Tadanori Teruya, Jun Sakuma, ISC, Conference and Workshop Papers (2013)

24. Prediction with Model-Based Neutrality.

Kazuto Fukuchi, Jun Sakuma, Toshihiro Kamishima, ECML/PKDD (2), Conference and Workshop Papers (2013)

25. Efficiency Improvement of Neutrality-Enhanced Recommendation.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma, Decisions@RecSys, Conference and Workshop Papers (2013)

26. Considerations on Fairness-Aware Data Mining.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma, ICDM Workshops, Conference and Workshop Papers (2012)

27. Fairness-Aware Classifier with Prejudice Remover Regularizer.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma, ECML/PKDD (2), Conference and Workshop Papers (2012)

28. Enhancement of the Neutrality in Recommendation.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma, Decisions@RecSys, Conference and Workshop Papers (2012)

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

Rie Shigetomi Yamaguchi, Keiichi Hirota, Koki Hamada, Katsumi Takahashi, Kazutaka Matsuzaki, Jun Sakuma, Yasuyuki Shirai, SMC, Conference and Workshop Papers (2012)

30. Fairness-aware Learning through Regularization Approach.

Toshihiro Kamishima, Shotaro Akaho, Jun Sakuma, ICDM Workshops, Conference and Workshop Papers (2011)

31. Privacy Preserving Semi-supervised Learning for Labeled Graphs.

Hiromi Arai, Jun Sakuma, ECML/PKDD (1), Conference and Workshop Papers (2011)

32. Online Prediction with Privacy.

Jun Sakuma, Hiromi Arai, ICML, Conference and Workshop Papers (2010)

33. Collusion-resistant privacy-preserving data mining.

Bin Yang, Hiroshi Nakagawa, Issei Sato, Jun Sakuma, KDD, Conference and Workshop Papers (2010)

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

Jun Sakuma, Rebecca N. Wright, ACML, Conference and Workshop Papers (2009)

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

Dan Oshima, Atsushi Miyamae, Jun Sakuma, Shigenobu Kobayashi, Isao Ono, IEEE Congress on Evolutionary Computation, Conference and Workshop Papers (2009)

36. Adaptation of expansion rate for real-coded crossovers.

Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi, GECCO, Conference and Workshop Papers (2009)

37. Link analysis for private weighted graphs.

Jun Sakuma, Shigenobu Kobayashi, SIGIR, Conference and Workshop Papers (2009)

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

Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi, GECCO, Conference and Workshop Papers (2008)

39. Privacy-preserving reinforcement learning.

Jun Sakuma, Shigenobu Kobayashi, Rebecca N. Wright, ICML, Conference and Workshop Papers (2008)

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

Jun Sakuma, Shigenobu Kobayashi, PAKDD, Conference and Workshop Papers (2008)

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

Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono, PPSN, Conference and Workshop Papers (2008)

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

Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono, GECCO, Conference and Workshop Papers (2007)

43. A genetic algorithm for privacy preserving combinatorial optimization.

Jun Sakuma, Shigenobu Kobayashi, GECCO, Conference and Workshop Papers (2007)

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

Chikao Tsuchiya, Kokolo Ikeda, Jun Sakuma, Isao Ono, Shigenobu Kobayashi, IEEE Congress on Evolutionary Computation, Conference and Workshop Papers (2006)

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

Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi, EMO, Conference and Workshop Papers (2006)

46. Local search for multiobjective function optimization:pareto descent method.

Ken Harada, Jun Sakuma, Shigenobu Kobayashi, GECCO, Conference and Workshop Papers (2006)

47. An Evolutionary Algorithm for Optimizing Functions with UV Structures.

Hiroshi Takeichi, Isao Ono, Jun Sakuma, Shigenobu Kobayashi, SMC, Conference and Workshop Papers (2006)

48. Real-coded crossover as a role of kernel density estimation.

Jun Sakuma, Shigenobu Kobayashi, GECCO, Conference and Workshop Papers (2005)

49. Latent variable crossover for k-tablet structures and its application to lens design problems.

Jun Sakuma, Shigenobu Kobayashi, GECCO, Conference and Workshop Papers (2005)

50. Adaptive isolation model using data clustering for multimodal function optimization.

Shin Ando, Jun Sakuma, Shigenobu Kobayashi, GECCO, Conference and Workshop Papers (2005)

51. Fast Approximate Similarity Search in Extremely High-Dimensional Data Sets.

Michael E. Houle, Jun Sakuma, ICDE, Conference and Workshop Papers (2005)

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

Chikao Tsuchiya, Jun Sakuma, Isao Ono, Shigenobu Kobayashi, WSTST, Conference and Workshop Papers (2005)

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

Jun Sakuma, Shigenobu Kobayashi, GECCO Late Breaking Papers, Conference and Workshop Papers (2002)

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

Jun Sakuma, Shigenobu Kobayashi, GECCO, Conference and Workshop Papers (2000)

55. Prediction with Model-Based Neutrality.

Kazuto Fukuchi, Toshihiro Kamishima, Jun Sakuma, IEICE Transactions, Journal Articles (2015)

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

Hiroaki Kikuchi, Jun Sakuma, JIP, Journal Articles (2014)

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

Jun Sakuma, Shigenobu Kobayashi, Knowl. Inf. Syst., Journal Articles (2010)