Sakuma, Jun

21 publications

ICCV 2025 Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy Wei Junhao, Yu Zhe, Jun Sakuma

AISTATS 2025 Harnessing the Power of Vicinity-Informed Analysis for Classification Under Covariate Shift Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi

NeurIPSW 2024 Harnessing the Power of Vicinity-Informed Analysis for Classification Under Covariate Shift Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi

WACV 2023 Certified Defense for Content Based Image Retrieval Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma

NeurIPS 2023 Demographic Parity Constrained Minimax Optimal Regression Under Linear Model Kazuto Fukuchi, Jun Sakuma

IJCAI 2023 Statistically Significant Concept-Based Explanation of Image Classifiers via Model Knockoffs Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma

NeurIPS 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

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

AAAI 2021 AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment Rei Sato, Jun Sakuma, Youhei Akimoto

AAAI 2020 Generate (Non-Software) Bugs to Fool Classifiers Hiromu Yakura, Youhei Akimoto, Jun Sakuma

IJCAI 2019 Robust Audio Adversarial Example for a Physical Attack Hiromu Yakura, Jun Sakuma

AAAI 2018 Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi

ICML 2017 Differentially Private Chi-Squared Test by Unit Circle Mechanism Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma

ACML 2016 Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi

ECML-PKDD 2015 Differentially Private Analysis of Outliers Rina Okada, Kazuto Fukuchi, Jun Sakuma

ECML-PKDD 2014 Neutralized Empirical Risk Minimization with Generalization Neutrality Bound Kazuto Fukuchi, Jun Sakuma

ECML-PKDD 2013 Prediction with Model-Based Neutrality Kazuto Fukuchi, Jun Sakuma, Toshihiro Kamishima

ECML-PKDD 2012 Fairness-Aware Classifier with Prejudice Remover Regularizer Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

ECML-PKDD 2011 Privacy Preserving Semi-Supervised Learning for Labeled Graphs Hiromi Arai, Jun Sakuma

ICML 2010 Online Prediction with Privacy Jun Sakuma, Hiromi Arai

ICML 2008 Privacy-Preserving Reinforcement Learning Jun Sakuma, Shigenobu Kobayashi, Rebecca N. Wright