ホーム > 佐久間 淳/ Sakuma, Jun
佐久間 淳
ALUMNI
2026年10月現在、筑波大学が主たる所属機関ではありません
Sakuma, Jun
東京科学大学 , 情報理工学院 , 教授 Institute of Science Tokyo , School of Computing , Professor
-
1.
Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG).
Junki Mori; Kazuya Kakizaki; Taiki Miyagawa; Jun Sakuma
ACL (Findings) 1216 (2026)
-
2.
Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models.
Ragib Amin Nihal; Rui Wen; Kazuhiro Nakadai; Jun Sakuma
ACL (Findings) 22123 (2026)
-
3.
When Benchmarks Leak: Inference-Time Decontamination for LLMs.
Jianzhe Chai; Zhe Yu; Jun Sakuma
ACL (1) 44743 (2026)
-
4.
MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs.
Rui Wen 0002; Mark Russinovich; Andrew Paverd; Jun SakumaAhmed Salem 0001
CoRR abs/2605.15172: (2026) Semantic Scholar
-
5.
Harmless Yet Harmful: Neutral Prompting Attacks for Stealthy Hallucination Steering in Agent Skills.
Chia-Yi Hsu; Chi-Yu Li 0001; Chun-Ying Huang; Jun Sakuma
CoRR abs/2605.29354: (2026) Semantic Scholar
-
6.
Adversarial Beats: Feasibility Study of Spoofed Arrhythmia in Automated Electrocardiogram Diagnosis.
Taiga Ono; Takeshi Sugawara 0001; Jun Sakuma; Tatsuya Mori 0003
ACM Trans. Cyber Phys. Syst. 10: 12 (2026) Semantic Scholar
-
7.
When Benchmarks Leak: Inference-Time Decontamination for LLMs.
Jianzhe Chai; Yu Zhe; Jun Sakuma
CoRR abs/2601.19334: (2026) Semantic Scholar
-
8.
One Leak Away: How Pretrained Model Exposure Amplifies Jailbreak Risks in Finetuned LLMs.
Yixin Tan; Zhe Yu; Jun Sakuma
CoRR abs/2512.14751: (2025) Semantic Scholar
-
9.
Disrupting Model Merging: A Parameter-Level Defense without Sacrificing Accuracy.
Junhao Wei; Yu Zhe; Jun Sakuma
ICCV 17698 (2025) Semantic Scholar
-
10.
Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models.
Haochuan Xu; Yun Sing Koh; Shuhuai Huang; Zirun Zhou (+2 著者) Jingfeng Zhang
CoRR abs/2510.13237: (2025) Semantic Scholar
-
11.
Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models.
Ragib Amin Nihal; Rui Wen; Kazuhiro Nakadai; Jun Sakuma
CoRR abs/2510.08859: (2025) Semantic Scholar
-
12.
Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG).
Junki Mori; Kazuya Kakizaki; Taiki Miyagawa; Jun Sakuma
CoRR abs/2510.06719: (2025) Semantic Scholar
-
13.
Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability.
Shojiro Yamabe; Jun Sakuma
CoRR abs/2510.00565: (2025) Semantic Scholar
-
14.
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion.
Daiki Nishiyama; Hiroaki Miyoshi; Noriaki Hashimoto; Koichi Ohshima (+2 著者) Jun Sakuma
Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference 320 (2025)
-
15.
Remembering Transformer for Continual Learning.
Yuwei Sun; Ippei Fujisawa; Arthur Juliani; Jun SakumaRyota Kanai
IJCNN 1 (2025) Semantic Scholar
-
16.
Weakening Prediction Confidence Makes Backdoors Strengthened: A Strong Textual Backdoor Attack on Prefix-tuning.
Yixin Tan; Haoyu Zhang; Jun Sakuma
IJCNN 1 (2025) Semantic Scholar
-
17.
Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift.
Mitsuhiro Fujikawa; Youhei Akimoto; Jun Sakuma; Kazuto Fukuchi
International Conference on Artificial Intelligence and Statistics(AISTATS) 226 (2025)
-
18.
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion.
Daiki Nishiyama; Hiroaki Miyoshi; Noriaki Hashimoto; Koichi Ohshima (+2 著者) Jun Sakuma
CoRR abs/2503.00925: (2025) Semantic Scholar
-
19.
Data Poisoning Attacks to Locally Differentially Private Range Query Protocols.
Ting-Wei Liao; Chih-Hsun Lin; Yu-Lin Tsai; Takao Murakami (+3 著者) Hiroaki Kikuchi
CoRR abs/2503.03454: (2025) Semantic Scholar
-
20.
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy.
Junhao Wei; Yu Zhe; Jun Sakuma
CoRR abs/2503.07661: (2025) Semantic Scholar
-
1.
Privacy-Preserving Local Search for the Traveling Salesman Problem
Jun, Sakuma; Shigenobu, Kobayashi
Intech 2010年12月
-
2.
進化技術ハンドブック
佐久間淳
近代科学社 2010年1月
-
3.
交叉オペレータによる高次元分布推定とその最適化・モデル推定への応用
佐久間, 淳
2003年3月
-
1.
モデル化誤差に頑健な Max-Min Off-Policy Actor-Critic
田邊, 拓実; 福地, 一斗; 佐久間, 淳; 秋本, 洋平
2022年度人工知能学会全国大会(第36回) 2022年6月14日
-
2.
Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation
Tran, Thien Q; Fukuchi, Kazuto; Akimoto, Yohei; Sakuma, Jun
36th AAAI Conference on Artificial Intelligence 2022年2月22日
-
3.
Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization
Miyagi, Atsuhiro; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
GECCO '21 2021年7月10日
-
4.
Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Function
Morinaga, Daiki; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
GECCO '21 2021年7月10日
-
5.
Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution
Tanabe, Takumi; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Yohei
GECCO '21 2021年7月10日
-
6.
Sequential Variational Autoencoderを用いたAngry Birdsのステージ生成
田邊, 拓実; 福地, 一斗; 佐久間, 淳; 秋本, 洋平
2021年度人工知能学会全国大会(第35回) 2021年6月8日
-
7.
深層生成モデルによる弱パレート解集合の近似
江戸, 陽向; 濱田, 直希; 福地, 一斗; 佐久間, 淳; 秋本, 洋平
2021年度人工知能学会全国大会(第35回) 2021年6月8日
-
8.
複数の損失関数を用いた深層生成モデルの訓練と制約付きブラックボックス最適化への適用
阪本, 直気; 佐藤, 怜; 福地, 一斗; 佐久間, 淳; 秋本, 洋平
2021年度人工知能学会全国大会(第35回) 2021年6月8日
-
9.
(1+1)-Evolution Strategyの凸二次関数における収束速度の導出
森永, 大貴; 福地, 一斗; 佐久間, 淳; 秋本, 洋平
2021年度人工知能学会全国大会(第35回) 2021年6月8日
-
10.
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment
Sato, Rei; Sakuma, Jun; Akimoto, Yohei
Proceedings of the AAAI Conference on Artificial Intelligence 2021年2月2日
-
11.
Deep Generative Model for Non-convex Constraint Handling
Sakamoto, Naoki; Semmatsu, Eiji; Fukuchi, Kazuto; Sakuma, Jun; Akimoto, Youhei
Genetic and Evolutionary Computation Conference (GECCO) 2020年7月8日
-
12.
Statistically Significant Pattern Mining with Ordinal Utility
Tran, Thien Q; Fukuchi, Kazuto; Akimoto, Yohei; Sakuma, Jun
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2020年7月6日
-
13.
Generate (non-software) Bugs to Fool Classifiers
Yakura, Hiromu; Akimoto, Yohei; Sakuma, Jun
Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, New York, USA, February 7-12, 2020 2020年2月7日
-
14.
Identification of nine genes as novel susceptibility loci for early-onset ischemic stroke, intracerebral hemorrhage, or subarachnoid hemorrhage
Yamase, Y; Horibe, H; Kato, K; Oguri, M; Fujimaki, T; Hibino, T; Kondo, T; Sakuma, J; Takeuchi, I; Murohara, T; Yasukochi, I; Yamada, Y
Congress of the European-Society-of-Cardiology (ESC) / World Congress of Cardiology 2019年8月31日
-
15.
Seasonal-adjustment Based Feature Selection Method for Predicting Epidemic with Large-scale Search Engine Logs
Tran, Thien Q; Sakuma, Jun
25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) 2019年8月4日
-
16.
Robust Watermarking of Neural Network with Exponential Weighting
Namba, Ryota; Sakuma, Jun
ACM Asia Conference on Computer and Communications Security (Asia CCS) 2019年7月9日
-
17.
AI for Security, Security for AI
Sakuma,Jun
LINE x Intertrust Security Summit 2019 2019年5月20日 LINE corp. 招待有り
-
18.
離散分布におけるシャノンエントロピー型のAdditive汎関数のミニマックス最適推定
福地, 一斗; 佐久間, 淳
第41回情報理論とその応用シンポジウム (SITA2018) 2018年12月18日 電子情報通信学会 基礎・境界ソサイエティ 情報理論とその応用サブソサイエティ
-
19.
More Practical Privacy-Preserving Machine Learning as A Service via Efficient Secure Matrix Multiplication
佐久間, 淳
The 6th Workshop on Encrypted Computing & Applied Homomorphic Cryptography 2018年10月19日
-
20.
Outsourced Private Function Evaluation with Privacy Policy Enforcement
Kunihiro, Noboru; Lu, Wen-Jie; Nishide, Takashi; Sakuma, Jun
IEEE TrustCom2018 2018年8月
-
1. : 選択装置、選択方法、プログラム、及び記録媒体
佐久間, 淳; マイケル・エドワード・フール -
2. : プログラム、分類方法およびシステム
佐久間, 淳; 浦本, 直彦 -
3. : Selection of elements strongly related to a predetermined reference element
Jun, Sakuma; Michael, Edward Houle -
4. : Program, classification method and system
Jun, Sakuma; Naohiko, Uramoto
1,623 total views




ORCID