Kazuto Fukuchi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 56

Top Topics

Evolutionary Strategy

Differentially Private

Empirical Risk Minimization

Top Venues

IEICE Trans. Inf. Syst.

Publications

Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. IEEE Trans. Evol. Comput. 28 (2) (2024)
Yu Zhe, Rei Nagaike, Daiki Nishiyama, Kazuto Fukuchi, Jun Sakuma
Adversarial Attacks on Hidden Tasks in Multi-Task Learning. CoRR (2024)
Mitsuhiro Fujikawa, Yohei Akimoto, Jun Sakuma, Kazuto Fukuchi
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. CoRR (2024)
Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. GECCO Companion (2024)
Shojiro Yamabe, Kazuto Fukuchi, Ryoma Senda, Jun Sakuma
Behavior-Targeted Attack on Reinforcement Learning with Limited Access to Victim's Policy. CoRR (2024)
Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. CoRR (2023)
Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and Its Application to Berthing Control Tasks. ACM Trans. Evol. Learn. Optim. 3 (2) (2023)
Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma
Certified Defense for Content Based Image Retrieval. WACV (2023)
Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. IJCAI (2023)
Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. CoRR (2023)
Yoshimasa Akimoto, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Privformer: Privacy-preserving Transformer with MPC. EuroS&P (2023)
Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
CAMRI Loss: Improving the Recall of a Specific Class without Sacrificing Accuracy. IEICE Trans. Inf. Syst. 106 (4) (2023)
Kazuto Fukuchi, Jun Sakuma
Demographic Parity Constrained Minimax Optimal Regression under Linear Model. NeurIPS (2023)
Jiayang Liu, Weiming Zhang, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Unauthorized AI cannot recognize me: Reversible adversarial example. Pattern Recognit. 134 (2023)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Adaptive scenario subset selection for worst-case optimization and its application to well placement optimization. Appl. Soft Comput. 133 (2023)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Pattern Mining With Ordinal Utility. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and its Application to Berthing Control Tasks. CoRR (2023)
Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. IJCNN (2022)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. AAAI (2022)
Kazuto Fukuchi, Chia-Mu Yu, Jun Sakuma
Locally Differentially Private Minimum Finding. IEICE Trans. Inf. Syst. (8) (2022)
Naoki Sakamoto, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models. IEEE Access 10 (2022)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. GECCO (2022)
Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. IJCNN (2022)
Syou Hirofumi, Kazuto Fukuchi, Yohei Akimoto, Jun Sakuma
Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery. IJCNN (2022)
Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. CoRR (2022)
Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Domain Generalization via Adversarially Learned Novel Domains. IEEE Access 10 (2022)
Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. NeurIPS (2022)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization. CoRR (2022)
Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations. CoRR (2022)
Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. CoRR (2022)
Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Domain Generalization Via Adversarially Learned Novel Domains. ICME (2022)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Black-Box Min-Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation. CoRR (2022)
Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution. CoRR (2021)
Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Adaptive scenario subset selection for min-max black-box continuous optimization. GECCO (2021)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation. CoRR (2021)
Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions. CoRR (2021)
Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. GECCO (2021)
Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Level generation for angry birds with sequential VAE and latent variable evolution. GECCO (2021)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Pattern Mining with Ordinal Utility. CoRR (2020)
Kazuto Fukuchi, Satoshi Hara, Takanori Maehara
Faking Fairness via Stealthily Biased Sampling. AAAI (2020)
Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Deep generative model for non-convex constraint handling. GECCO (2020)
Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
Statistically Significant Pattern Mining with Ordinal Utility. KDD (2020)
Kazuto Fukuchi, Satoshi Hara, Takanori Maehara
Pretending Fair Decisions via Stealthily Biased Sampling. CoRR (2019)
Kazuto Fukuchi, Chia-Mu Yu, Arashi Haishima, Jun Sakuma
Locally Differentially Private Minimum Finding. CoRR (2019)
Kazuto Fukuchi, Jun Sakuma
Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case. ISIT (2018)
Kazuto Fukuchi, Jun Sakuma
Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case. CoRR (2018)
Kazuto Fukuchi, Jun Sakuma
Minimax Optimal Additive Functional Estimation with Discrete Distribution. CoRR (2018)
Kazuto Fukuchi, Quang Khai Tran, Jun Sakuma
Differentially Private Empirical Risk Minimization with Input Perturbation. CoRR (2017)
Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma
Differentially Private Chi-squared Test by Unit Circle Mechanism. ICML (2017)
Kazuto Fukuchi, Quang Khai Tran, Jun Sakuma
Differentially Private Empirical Risk Minimization with Input Perturbation. DS (2017)
Kazuto Fukuchi, Jun Sakuma
Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions. CoRR (2017)
Kazuto Fukuchi, Jun Sakuma
Minimax optimal estimators for additive scalar functionals of discrete distributions. ISIT (2017)
Kazuto Fukuchi, Toshihiro Kamishima, Jun Sakuma
Prediction with Model-Based Neutrality. IEICE Trans. Inf. Syst. (8) (2015)
Kazuto Fukuchi, Jun Sakuma
Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences. CoRR (2015)
Rina Okada, Kazuto Fukuchi, Jun Sakuma
Differentially Private Analysis of Outliers. ECML/PKDD (2) (2015)
Rina Okada, Kazuto Fukuchi, Kazuya Kakizaki, Jun Sakuma
Differentially Private Analysis of Outliers. CoRR (2015)
Kazuto Fukuchi, Jun Sakuma
Neutralized Empirical Risk Minimization with Generalization Neutrality Bound. ECML/PKDD (1) (2014)
Kazuto Fukuchi, Jun Sakuma, Toshihiro Kamishima
Prediction with Model-Based Neutrality. ECML/PKDD (2) (2013)