Jun Sakuma - RankMe

171 papers A* 17A 24B 21C 6Journal 73Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Beats: Feasibility Study of Spoofed Arrhythmia in Automated Electrocardiogram Diagnosis. ACM Trans. Cyber Phys. Syst. Taiga Ono, Takeshi Sugawara, Jun Sakuma, Tatsuya Mori
2026	J	`jnl`	When Benchmarks Leak: Inference-Time Decontamination for LLMs. CoRR Jianzhe Chai, Yu Zhe, Jun Sakuma
2025	J	`jnl`	BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors. CoRR Chia-Yi Hsu, Yu-Lin Tsai, Yu Zhe, Yan-Lun Chen, Chih-Hsun Lin, Chia-Mu Yu, Yang Zhang, Chun-Ying Huang, Jun Sakuma
2025	J	`jnl`	Data Poisoning Attacks to Locally Differentially Private Range Query Protocols. CoRR Ting-Wei Liao, Chih-Hsun Lin, Yu-Lin Tsai, Takao Murakami, Chia-Mu Yu, Jun Sakuma, Chun-Ying Huang, Hiroaki Kikuchi
2025	J	`jnl`	Deterministic and Probabilistic Certified Defenses for Content-Based Image Retrieval. IEICE Trans. Inf. Syst. Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma
2025	J	`jnl`	Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG). CoRR Junki Mori, Kazuya Kakizaki, Taiki Miyagawa, Jun Sakuma
2025	J	`jnl`	Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy. CoRR Junhao Wei, Yu Zhe, Jun Sakuma
2025	—	`conf`	Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion. MICCAI (12) Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi, Jun Sakuma
2025	J	`jnl`	Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion. CoRR Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi, Jun Sakuma
2025	A	`conf`	Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. AISTATS Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi
2025	J	`jnl`	Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models. CoRR Haochuan Xu, Yun Sing Koh, Shuhuai Huang, Zirun Zhou, Di Wang, Jun Sakuma, Jingfeng Zhang
2025	J	`jnl`	One Leak Away: How Pretrained Model Exposure Amplifies Jailbreak Risks in Finetuned LLMs. CoRR Yixin Tan, Zhe Yu, Jun Sakuma
2025	J	`jnl`	Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models. CoRR Ragib Amin Nihal, Rui Wen, Kazuhiro Nakadai, Jun Sakuma
2025	B	`conf`	Remembering Transformer for Continual Learning. IJCNN Yuwei Sun, Ippei Fujisawa, Arthur Juliani, Jun Sakuma, Ryota Kanai
2025	J	`jnl`	Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability. CoRR Shojiro Yamabe, Jun Sakuma
2025	B	`conf`	Weakening Prediction Confidence Makes Backdoors Strengthened: A Strong Textual Backdoor Attack on Prefix-tuning. IJCNN Yixin Tan, Haoyu Zhang, Jun Sakuma
2024	J	`jnl`	Adversarial Attacks on Hidden Tasks in Multi-Task Learning. CoRR Yu Zhe, Rei Nagaike, Daiki Nishiyama, Kazuto Fukuchi, Jun Sakuma
2024	J	`jnl`	Attacking-Distance-Aware Attack: Semi-targeted Model Poisoning on Federated Learning. IEEE Trans. Artif. Intell. Yuwei Sun, Hideya Ochiai, Jun Sakuma
2024	J	`jnl`	Behavior-Targeted Attack on Reinforcement Learning with Limited Access to Victim's Policy. CoRR Shojiro Yamabe, Kazuto Fukuchi, Ryoma Senda, Jun Sakuma
2024	J	`jnl`	Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. IEEE Trans. Evol. Comput. Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2024	J	`jnl`	Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift. CoRR Mitsuhiro Fujikawa, Youhei Akimoto, Jun Sakuma, Kazuto Fukuchi
2024	B	`conf`	Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space. IJCNN Yuwei Sun, Hideya Ochiai, Jun Sakuma
2024	—	`conf`	Linear Convergence Rate Analysis of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions. GECCO Companion Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2024	J	`jnl`	Parameter Matching Attack: Enhancing Practical Applicability of Availability Attacks. CoRR Yu Zhe, Jun Sakuma
2024	J	`jnl`	Remembering Transformer for Continual Learning. CoRR Yuwei Sun, Ippei Fujisawa, Arthur Juliani, Jun Sakuma, Ryota Kanai
2024	A	`conf`	Trojan attribute inference attack on gradient boosting decision trees. EuroS&P Kunihiro Ito, Batnyam Enkhtaivan, Isamu Teranishi, Jun Sakuma
2024	—	`conf`	Zero-shot domain adaptation based on dual-level mix and contrast. CAI Yu Zhe, Jun Sakuma
2024	J	`jnl`	Zero-shot domain adaptation based on dual-level mix and contrast. CoRR Yu Zhe, Jun Sakuma
2023	J	`jnl`	Adaptive scenario subset selection for worst-case optimization and its application to well placement optimization. Appl. Soft Comput. Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	J	`jnl`	CAMRI Loss: Improving the Recall of a Specific Class without Sacrificing Accuracy. IEICE Trans. Inf. Syst. Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	A	`conf`	Certified Defense for Content Based Image Retrieval. WACV Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma
2023	J	`jnl`	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. Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	J	`jnl`	Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and its Application to Berthing Control Tasks. CoRR Atsuhiro Miyagi, Yoshiki Miyauchi, Atsuo Maki, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	A*	`conf`	Demographic Parity Constrained Minimax Optimal Regression under Linear Model. NeurIPS Kazuto Fukuchi, Jun Sakuma
2023	J	`jnl`	Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. CoRR Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2023	B	`conf`	Heterogeneous Domain Adaptation with Positive and Unlabeled Data. IEEE Big Data Junki Mori, Ryo Furukawa, Isamu Teranishi, Jun Sakuma
2023	J	`jnl`	Heterogeneous Domain Adaptation with Positive and Unlabeled Data. CoRR Junki Mori, Ryo Furukawa, Isamu Teranishi, Jun Sakuma
2023	J	`jnl`	Instance-level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space. CoRR Yuwei Sun, Hideya Ochiai, Jun Sakuma
2023	—	`conf`	Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. MLMI@MICCAI (2) Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
2023	J	`jnl`	Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. CoRR Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
2023	A	`conf`	Privformer: Privacy-preserving Transformer with MPC. EuroS&P Yoshimasa Akimoto, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	A*	`conf`	Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. IJCAI Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	J	`jnl`	Statistically Significant Concept-based Explanation of Image Classifiers via Model Knockoffs. CoRR Kaiwen Xu, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	J	`jnl`	Statistically Significant Pattern Mining With Ordinal Utility. IEEE Trans. Knowl. Data Eng. Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2023	J	`jnl`	Unauthorized AI cannot recognize me: Reversible adversarial example. Pattern Recognit. Jiayang Liu, Weiming Zhang, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization. CoRR Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Black-Box Min-Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation. CoRR Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	A	`conf`	Black-box min-max continuous optimization using CMA-ES with worst-case ranking approximation. GECCO Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. IJCNN Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy. CoRR Daiki Nishiyama, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient and their monotonic transformations. CoRR Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery. IJCNN Syou Hirofumi, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	A	`conf`	Domain Generalization Via Adversarially Learned Novel Domains. ICME Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Domain Generalization via Adversarially Learned Novel Domains. IEEE Access Yu Zhe, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2022	J	`jnl`	Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models. IEEE Access Naoki Sakamoto, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning. IJCNN Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Locally Differentially Private Minimum Finding. IEICE Trans. Inf. Syst. Kazuto Fukuchi, Chia-Mu Yu, Jun Sakuma
2022	A*	`conf`	Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. NeurIPS Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	J	`jnl`	Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification. CoRR Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2022	B	`conf`	Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis. IJCNN Yuwei Sun, Hideya Ochiai, Jun Sakuma
2022	J	`jnl`	Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis. CoRR Yuwei Sun, Hideya Ochiai, Jun Sakuma
2022	A*	`conf`	Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. AAAI Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2021	A	`conf`	Adaptive scenario subset selection for min-max black-box continuous optimization. GECCO Atsuhiro Miyagi, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	A*	`conf`	AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. AAAI Rei Sato, Jun Sakuma, Youhei Akimoto
2021	J	`jnl`	Application of Adversarial Examples to Physical ECG Signals. CoRR Taiga Ono, Takeshi Sugawara, Jun Sakuma, Tatsuya Mori
2021	J	`jnl`	Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Functions. CoRR Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	A	`conf`	Convergence rate of the (1+1)-evolution strategy with success-based step-size adaptation on convex quadratic functions. GECCO Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	J	`jnl`	Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution. CoRR Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	A	`conf`	Level generation for angry birds with sequential VAE and latent variable evolution. GECCO Takumi Tanabe, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2021	—	`conf`	Toward Practical Adversarial Attacks on Face Verification Systems. BIOSIG Kazuya Kakizaki, Taiki Miyagawa, Inderjeet Singh, Jun Sakuma
2021	J	`jnl`	Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation. CoRR Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2020	J	`jnl`	AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. CoRR Rei Sato, Jun Sakuma, Youhei Akimoto
2020	A	`conf`	Deep generative model for non-convex constraint handling. GECCO Naoki Sakamoto, Eiji Semmatsu, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
2020	A*	`conf`	Generate (Non-Software) Bugs to Fool Classifiers. AAAI Hiromu Yakura, Youhei Akimoto, Jun Sakuma
2020	J	`jnl`	Seasonal-adjustment Based Feature Selection Method for Large-scale Search Engine Logs. CoRR Thien Q. Tran, Jun Sakuma
2020	A*	`conf`	Statistically Significant Pattern Mining with Ordinal Utility. KDD Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2020	J	`jnl`	Statistically Significant Pattern Mining with Ordinal Utility. CoRR Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma
2019	J	`jnl`	Generate (non-software) Bugs to Fool Classifiers. CoRR Hiromu Yakura, Youhei Akimoto, Jun Sakuma
2019	J	`jnl`	Locally Differentially Private Minimum Finding. CoRR Kazuto Fukuchi, Chia-Mu Yu, Arashi Haishima, Jun Sakuma
2019	J	`jnl`	Neural malware analysis with attention mechanism. Comput. Secur. Hiromu Yakura, Shinnosuke Shinozaki, Reon Nishimura, Yoshihiro Oyama, Jun Sakuma
2019	A*	`conf`	Robust Audio Adversarial Example for a Physical Attack. IJCAI Hiromu Yakura, Jun Sakuma
2019	A	`conf`	Robust Watermarking of Neural Network with Exponential Weighting. AsiaCCS Ryota Namba, Jun Sakuma
2019	J	`jnl`	Robust Watermarking of Neural Network with Exponential Weighting. CoRR Ryota Namba, Jun Sakuma
2019	A*	`conf`	Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs. KDD Thien Q. Tran, Jun Sakuma
2018	A*	`conf`	Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment. AAAI Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi
2018	J	`jnl`	General-to-Detailed GAN for Infrequent Class Medical Images. CoRR Tatsuki Koga, Naoki Nonaka, Jun Sakuma, Jun Seita
2018	J	`jnl`	Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values. CoRR Hiroyuki Hanada, Toshiyuki Takada, Jun Sakuma, Ichiro Takeuchi
2018	—	`conf`	Malware Analysis of Imaged Binary Samples by Convolutional Neural Network with Attention Mechanism. CODASPY Hiromu Yakura, Shinnosuke Shinozaki, Reon Nishimura, Yoshihiro Oyama, Jun Sakuma
2018	J	`jnl`	Minimax Optimal Additive Functional Estimation with Discrete Distribution. CoRR Kazuto Fukuchi, Jun Sakuma
2018	B	`conf`	Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case. ISIT Kazuto Fukuchi, Jun Sakuma
2018	J	`jnl`	Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case. CoRR Kazuto Fukuchi, Jun Sakuma
2018	J	`jnl`	Model-based and actual independence for fairness-aware classification. Data Min. Knowl. Discov. Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2018	—	`conf`	More Practical Privacy-Preserving Machine Learning as A Service via Efficient Secure Matrix Multiplication. WAHC@CCS Wenjie Lu, Jun Sakuma
2018	A	`conf`	Non-interactive and Output Expressive Private Comparison from Homomorphic Encryption. AsiaCCS Wenjie Lu, Jun-Jie Zhou, Jun Sakuma
2018	—	`conf`	Outsourced Private Function Evaluation with Privacy Policy Enforcement. TrustCom/BigDataSE Noboru Kunihiro, Wenjie Lu, Takashi Nishide, Jun Sakuma
2018	—	`conf`	Recommendation Independence. FAT Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2018	J	`jnl`	Recommendation with k-Anonymized Ratings. Trans. Data Priv. Jun Sakuma, Tatsuya Osame
2018	J	`jnl`	Robust Audio Adversarial Example for a Physical Attack. CoRR Hiromu Yakura, Jun Sakuma
2018	J	`jnl`	Study on Record Linkage of Anonymizied Data. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Hiroaki Kikuchi, Takayasu Yamaguchi, Koki Hamada, Yuji Yamaoka, Hidenobu Oguri, Jun Sakuma
2018	J	`jnl`	Toward Distribution Estimation under Local Differential Privacy with Small Samples. Proc. Priv. Enhancing Technol. Takao Murakami, Hideitsu Hino, Jun Sakuma
2017	A*	`conf`	Differentially Private Chi-squared Test by Unit Circle Mechanism. ICML Kazuya Kakizaki, Kazuto Fukuchi, Jun Sakuma
2017	B	`conf`	Differentially Private Empirical Risk Minimization with Input Perturbation. DS Kazuto Fukuchi, Quang-Khai Tran, Jun Sakuma
2017	J	`jnl`	Differentially Private Empirical Risk Minimization with Input Perturbation. CoRR Kazuto Fukuchi, Quang-Khai Tran, Jun Sakuma
2017	B	`conf`	Differentially Private Semi-Supervised Classification. SMARTCOMP Xu Long, Jun Sakuma
2017	—	`conf`	Malware Analysis of Imaged Binary Samples by Convolutional Neural Network with Attention Mechanism. AISec@CCS Hiromu Yakura, Shinnosuke Shinozaki, Reon Nishimura, Yoshihiro Oyama, Jun Sakuma
2017	J	`jnl`	Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions. CoRR Kazuto Fukuchi, Jun Sakuma
2017	B	`conf`	Minimax optimal estimators for additive scalar functionals of discrete distributions. ISIT Kazuto Fukuchi, Jun Sakuma
2017	A	`conf`	Mis-operation Resistant Searchable Homomorphic Encryption. AsiaCCS Keita Emura, Takuya Hayashi, Noboru Kunihiro, Jun Sakuma
2017	A	`conf`	Privacy-preserving and Optimal Interval Release for Disease Susceptibility. AsiaCCS Kosuke Kusano, Ichiro Takeuchi, Jun Sakuma
2017	J	`jnl`	Recommendation with k-anonymized Ratings. CoRR Jun Sakuma, Tatsuya Osame
2017	—	`conf`	Towards Privacy-Preserving Record Linkage with Record-Wise Linkage Policy. DEXA (1) Takahito Kaiho, Wenjie Lu, Toshiyuki Amagasa, Jun Sakuma
2017	A*	`conf`	Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data. NDSS Wenjie Lu, Shohei Kawasaki, Jun Sakuma
2016	—	`conf`	A Study from the Data Anonymization Competition Pwscup 2015. DPM/QASA@ESORICS Hiroaki Kikuchi, Takayasu Yamaguchi, Koki Hamada, Yuji Yamaoka, Hidenobu Oguri, Jun Sakuma
2016	J	`jnl`	Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization. CoRR Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi
2016	C	`conf`	Fairy ring: Ubiquitous secure multiparty computation framework for smartphone applications. ISITA Tadanori Teruya, Yoshiki Aoki, Jun Sakuma
2016	B	`conf`	Ice and Fire: Quantifying the Risk of Re-identification and Utility in Data Anonymization. AINA Hiroaki Kikuchi, Takayasu Yamaguchi, Koki Hamada, Yuji Yamaoka, Hidenobu Oguri, Jun Sakuma
2016	C	`conf`	Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. ACML Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi
2016	J	`jnl`	Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. CoRR Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi
2016	J	`jnl`	Using Fully Homomorphic Encryption for Statistical Analysis of Categorical, Ordinal and Numerical Data. IACR Cryptol. ePrint Arch. Wenjie Lu, Shohei Kawasaki, Jun Sakuma
2015	—	`conf`	Differentially Private Analysis of Outliers. ECML/PKDD (2) Rina Okada, Kazuto Fukuchi, Jun Sakuma
2015	J	`jnl`	Differentially Private Analysis of Outliers. CoRR Rina Okada, Kazuto Fukuchi, Kazuya Kakizaki, Jun Sakuma
2015	—	`conf`	Efficient Secure Outsourcing of Genome-Wide Association Studies. IEEE Symposium on Security and Privacy Workshops Wenjie Lu, Yoshiji Yamada, Jun Sakuma
2015	J	`jnl`	Fairness-Aware Learning with Restriction of Universal Dependency using f-Divergences. CoRR Kazuto Fukuchi, Jun Sakuma
2015	J	`jnl`	Prediction with Model-Based Neutrality. IEICE Trans. Inf. Syst. Kazuto Fukuchi, Toshihiro Kamishima, Jun Sakuma
2015	—	`conf`	Privacy-Preserving Statistical Analysis by Exact Logistic Regression. IEEE Symposium on Security and Privacy Workshops David A. duVerle, Shohei Kawasaki, Yoshiji Yamada, Jun Sakuma, Koji Tsuda
2015	J	`jnl`	Privacy-preserving genome-wide association studies on cloud environment using fully homomorphic encryption. BMC Medical Informatics Decis. Mak. Wenjie Lu, Yoshiji Yamada, Jun Sakuma
2015	J	`jnl`	Privacy-preserving search for chemical compound databases. BMC Bioinform. Kana Shimizu, Koji Nuida, Hiromi Arai, Shigeo Mitsunari, Nuttapong Attrapadung, Michiaki Hamada, Koji Tsuda, Takatsugu Hirokawa, Jun Sakuma, Goichiro Hanaoka, Kiyoshi Asai
2014	C	`conf`	A scheme for privacy-preserving ontology mapping. IDEAS Toshiyuki Amagasa, Fan Zhang, Jun Sakuma, Hiroyuki Kitagawa
2014	J	`jnl`	Bloom Filter Bootstrap: Privacy-Preserving Estimation of the Size of an Intersection. J. Inf. Process. Hiroaki Kikuchi, Jun Sakuma
2014	—	`conf`	Correcting Popularity Bias by Enhancing Recommendation Neutrality. RecSys Posters Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2014	—	`conf`	Neutralized Empirical Risk Minimization with Generalization Neutrality Bound. ECML/PKDD (1) Kazuto Fukuchi, Jun Sakuma
2014	—	`conf`	Oblivious Evaluation of Non-deterministic Finite Automata with Application to Privacy-Preserving Virus Genome Detection. WPES Hirohito Sasakawa, Hiroki Harada, David duVerle, Hiroki Arimura, Koji Tsuda, Jun Sakuma
2014	—	`conf`	Privacy-Preserving Dose-Response Relationship Test. NBiS Hiroaki Kikuchi, Tomoki Sato, Jun Sakuma
2014	B	`conf`	Privacy-Preserving Hypothesis Testing for the Analysis of Epidemiological Medical Data. AINA Hiroaki Kikuchi, Tomoki Sato, Jun Sakuma
2013	B	`conf`	Bloom Filter Bootstrap: Privacy-Preserving Estimation of the Size of an Intersection. DBSec Hiroaki Kikuchi, Jun Sakuma
2013	—	`conf`	Efficiency Improvement of Neutrality-Enhanced Recommendation. Decisions@RecSys Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2013	—	`conf`	Prediction with Model-Based Neutrality. ECML/PKDD (2) Kazuto Fukuchi, Jun Sakuma, Toshihiro Kamishima
2013	—	`conf`	Privacy-Preserving Protocol for Epidemiology in Effect of Radiation. IMIS Hiroaki Kikuchi, Tomoki Sato, Jun Sakuma
2013	C	`conf`	Round-Efficient Private Stable Matching from Additive Homomorphic Encryption. ISC Tadanori Teruya, Jun Sakuma
2013	—	`conf`	The Independence of Fairness-Aware Classifiers. ICDM Workshops Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2012	B	`conf`	Applicability of existing anonymization methods to large location history data in urban travel. SMC Rie Shigetomi Yamaguchi, Keiichi Hirota, Koki Hamada, Katsumi Takahashi, Kazutaka Matsuzaki, Jun Sakuma, Yasuyuki Shirai
2012	—	`conf`	Considerations on Fairness-Aware Data Mining. ICDM Workshops Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2012	—	`conf`	Enhancement of the Neutrality in Recommendation. Decisions@RecSys Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2012	—	`conf`	Fairness-Aware Classifier with Prejudice Remover Regularizer. ECML/PKDD (2) Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma
2011	—	`conf`	Fairness-aware Learning through Regularization Approach. ICDM Workshops Toshihiro Kamishima, Shotaro Akaho, Jun Sakuma
2011	—	`conf`	Privacy Preserving Semi-supervised Learning for Labeled Graphs. ECML/PKDD (1) Hiromi Arai, Jun Sakuma
2010	A*	`conf`	Collusion-resistant privacy-preserving data mining. KDD Bin Yang, Hiroshi Nakagawa, Issei Sato, Jun Sakuma
2010	J	`jnl`	Large-scale Knowl. Inf. Syst. Jun Sakuma, Shigenobu Kobayashi
2010	A*	`conf`	Online Prediction with Privacy. ICML Jun Sakuma, Hiromi Arai
2009	B	`conf`	A new real-coded genetic algorithm using the adaptive selection network for detecting multiple optima. IEEE Congress on Evolutionary Computation Dan Oshima, Atsushi Miyamae, Jun Sakuma, Shigenobu Kobayashi, Isao Ono
2009	A	`conf`	Adaptation of expansion rate for real-coded crossovers. GECCO Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2009	A*	`conf`	Link analysis for private weighted graphs. SIGIR Jun Sakuma, Shigenobu Kobayashi
2009	C	`conf`	Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection. ACML Jun Sakuma, Rebecca N. Wright
2008	A	`conf`	Functional-Specialization Multi-Objective Real-Coded Genetic Algorithm: FS-MOGA. PPSN Naoki Hamada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono
2008	A	`conf`	Functionally specialized CMA-ES: a modification of CMA-ES based on the specialization of the functions of covariance matrix adaptation and step size adaptation. GECCO Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2008	B	`conf`	Large-Scale k-Means Clustering with User-Centric Privacy Preservation. PAKDD Jun Sakuma, Shigenobu Kobayashi
2008	A*	`conf`	Privacy-preserving reinforcement learning. ICML Jun Sakuma, Shigenobu Kobayashi, Rebecca N. Wright
2007	A	`conf`	A genetic algorithm for privacy preserving combinatorial optimization. GECCO Jun Sakuma, Shigenobu Kobayashi
2007	C	`conf`	Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. EMO Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2007	A	`conf`	Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA. GECCO Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao Ono
2006	B	`conf`	An Evolutionary Algorithm for Optimizing Functions with UV Structures. SMC Hiroshi Takeichi, Isao Ono, Jun Sakuma, Shigenobu Kobayashi
2006	B	`conf`	Instance-Based Policy Search using Binomial Distribution Crossover and Iterated Refreshment. IEEE Congress on Evolutionary Computation Chikao Tsuchiya, Kokolo Ikeda, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2006	A	`conf`	Local search for multiobjective function optimization: pareto descent method. GECCO Ken Harada, Jun Sakuma, Shigenobu Kobayashi
2005	A	`conf`	Adaptive isolation model using data clustering for multimodal function optimization. GECCO Shin Ando, Jun Sakuma, Shigenobu Kobayashi
2005	—	`conf`	An Effective Rule Based Policy Representation and its Optimization using Inter Normal Distribution Crossover. WSTST Chikao Tsuchiya, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
2005	A*	`conf`	Fast Approximate Similarity Search in Extremely High-Dimensional Data Sets. ICDE Michael E. Houle, Jun Sakuma
2005	A	`conf`	Latent variable crossover for k-tablet structures and its application to lens design problems. GECCO Jun Sakuma, Shigenobu Kobayashi
2005	A	`conf`	Real-coded crossover as a role of kernel density estimation. GECCO Jun Sakuma, Shigenobu Kobayashi
2002	—	`conf`	k-tablet Structures and Crossover on Latent Variables for Real-Coded GA. GECCO Late Breaking Papers Jun Sakuma, Shigenobu Kobayashi
2001	B	`conf`	Extrapolation-directed crossover for real-coded GA: overcoming deceptive phenomena by extrapolative search. CEC Jun Sakuma, Shigenobu Kobayashi
2000	A	`conf`	Extrapolation-Directed Crossover for Job-shop Scheduling Problems: Complementary Combination with JOX. GECCO Jun Sakuma, Shigenobu Kobayashi