Neutralized Empirical Risk Minimization with Generalization Neutrality Bound. - Kazuto Fukuchi; Jun Sakuma (ECML/PKDD (1), 2014)

Differentially Private Analysis of Outliers. - Rina Okada; Kazuto Fukuchi; Jun Sakuma (ECML/PKDD (2), 2015)

Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences. - Kazuto Fukuchi; Jun Sakuma (CoRR, 2015)

Differentially Private Analysis of Outliers. - Rina Okada; Kazuto Fukuchi; Kazuya Kakizaki; Jun Sakuma (CoRR, 2015)

Prediction with Model-Based Neutrality. - Kazuto Fukuchi; Toshihiro Kamishima; Jun Sakuma (IEICE Trans. Inf. Syst., 2015)

Differentially Private Empirical Risk Minimization with Input Perturbation. - Kazuto Fukuchi; Quang Khai Tran; Jun Sakuma (DS, 2017)

Differentially Private Chi-squared Test by Unit Circle Mechanism. - Kazuya Kakizaki; Kazuto Fukuchi; Jun Sakuma (ICML, 2017)

Minimax optimal estimators for additive scalar functionals of discrete distributions. - Kazuto Fukuchi; Jun Sakuma (ISIT, 2017)

Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case. - Kazuto Fukuchi; Jun Sakuma (ISIT, 2018)

Minimax Optimal Additive Functional Estimation with Discrete Distribution. - Kazuto Fukuchi; Jun Sakuma (CoRR, 2018)

Pretending Fair Decisions via Stealthily Biased Sampling. - Kazuto Fukuchi; Satoshi Hara 001; Takanori Maehara (CoRR, 2019)

Locally Differentially Private Minimum Finding. - Kazuto Fukuchi; Chia-Mu Yu; Arashi Haishima; Jun Sakuma (CoRR, 2019)

Faking Fairness via Stealthily Biased Sampling. - Kazuto Fukuchi; Satoshi Hara 001; Takanori Maehara (AAAI, 2020)

Deep generative model for non-convex constraint handling. - Naoki Sakamoto; Eiji Semmatsu; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2020)

Adaptive scenario subset selection for min-max black-box continuous optimization. - Atsuhiro Miyagi; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2021)

Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2021)

Level generation for angry birds with sequential VAE and latent variable evolution. - Takumi Tanabe; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2021)

Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. - Thien Q. Tran; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (AAAI, 2022)

Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. - Atsuhiro Miyagi; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO, 2022)

Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery. - Syou Hirofumi; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IJCNN, 2022)

Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. - Rei Sato; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (IJCNN, 2022)

Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. - Takumi Tanabe; Rei Sato; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (NeurIPS, 2022)

Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models. - Naoki Sakamoto; Rei Sato; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (IEEE Access, 2022)

Domain Generalization via Adversarially Learned Novel Domains. - Yu Zhe; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IEEE Access, 2022)

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (CoRR, 2022)

Locally Differentially Private Minimum Finding. - Kazuto Fukuchi; Chia-Mu Yu; Jun Sakuma (IEICE Trans. Inf. Syst., 2022)

Privformer: Privacy-preserving Transformer with MPC. - Yoshimasa Akimoto; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (EuroS&P, 2023)

Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. - Kaiwen Xu; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IJCAI, 2023)

Demographic Parity Constrained Minimax Optimal Regression under Linear Model. - Kazuto Fukuchi; Jun Sakuma (NeurIPS, 2023)

Certified Defense for Content Based Image Retrieval. - Kazuya Kakizaki; Kazuto Fukuchi; Jun Sakuma (WACV, 2023)

Unauthorized AI cannot recognize me: Reversible adversarial example. - Jiayang Liu; Weiming Zhang 001; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (Pattern Recognit., 2023)

Adaptive scenario subset selection for worst-case optimization and its application to well placement optimization. - Atsuhiro Miyagi; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (Appl. Soft Comput., 2023)

CAMRI Loss: Improving the Recall of a Specific Class without Sacrificing Accuracy. - Daiki Nishiyama; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IEICE Trans. Inf. Syst., 2023)

Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and Its Application to Berthing Control Tasks. - Atsuhiro Miyagi; Yoshiki Miyauchi; Atsuo Maki; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (ACM Trans. Evol. Learn. Optim., 2023)

Statistically Significant Pattern Mining With Ordinal Utility. - Thien Q. Tran; Kazuto Fukuchi; Youhei Akimoto; Jun Sakuma (IEEE Trans. Knowl. Data Eng., 2023)

Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (GECCO Companion, 2024)

Adversarial Attacks on Hidden Tasks in Multi-Task Learning. - Yu Zhe; Rei Nagaike; Daiki Nishiyama; Kazuto Fukuchi; Jun Sakuma (CoRR, 2024)

Behavior-Targeted Attack on Reinforcement Learning with Limited Access to Victim's Policy. - Shojiro Yamabe; Kazuto Fukuchi; Ryoma Senda; Jun Sakuma (CoRR, 2024)

Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. - Daiki Morinaga; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (IEEE Trans. Evol. Comput., 2024)

Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. - Mitsuhiro Fujikawa; Youhei Akimoto; Jun Sakuma; Kazuto Fukuchi (AISTATS, 2025)

Deterministic and Probabilistic Certified Defenses for Content-Based Image Retrieval. - Kazuya Kakizaki; Kazuto Fukuchi; Jun Sakuma (IEICE Trans. Inf. Syst., 2025)

Meta Optimality for Demographic Parity Constrained Regression via Post-Processing. - Kazuto Fukuchi (CoRR, 2025)