What's new

• [Jun. 2026] Our paper "Read or Ignore? A Unified Benchmark for Typographic-Attack Robustness and Text Recognition in Vision-Language Models" has been accepted at ECCV 2026.

• [Feb. 2026] Two papers have been acceted at CVPR 2026 (Main)

  • "Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models"

  • "P2GS: Physical Prior-guided Gaussian Splatting for Photometrically Consistent Urban Reconstruction"

• [Jan. 2026] Our paper "Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness" has been accepted at ICLR 2026

• [Nov. 2025] Our paper "STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes" has been accepted at AAAI 2026 as Oral

• [May. 2025] Our paper "MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models" at ACL 2025 (Main)

• [Feb. 2024] Our paper "Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models" has been accepted at CVPR 2024

Biography

• Jul. 2026 - present: Acompany Co., Ltd. / Chief Scientist and VP of R&D

• Jan. 2026 - Jun. 2026: Acompany Co., Ltd. / Principal Researcher

• Nov. 2024 - Dec. 2025: Turing Inc. / Principal Researcher

• Mar. 2024 - Nov. 2024: SB Intuitions Corp. / Chief Scientist

• Oct. 2023 - Nov. 2024: LY Corp. / Senior Chief Researcher, Senior Manager

• Dec. 2018 - Sep. 2023: LINE Corporation / Senior Research Scientist, R&D Manager

• Mar. 2015 - Mar. 2016: Carnegie Mellon University (Supervisor: Christos Faloutsos) / Visiting Scholar

• Apr. 2013 - Mar. 2014: PhD. in Engineering, University of Tsukuba (Supervisor: Hiroyuki Kitagawa)

• Apr. 2010 - Nov. 2018: NEC Corporation / Researcher

• Apr. 2008 - Mar. 2010: Master in Engineering, University of Tsukuba (Supervisor: Hiroyuki Kitagawa)

• Apr. 2006 - Mar. 2008: Bachelor in Information Engineering, University of Tsukuba (Supervisor: Hiroyuki Kitagawa)

• Apr. 2001 - Mar. 2006: Kisarazu National College of Technology

Conference Papers

• Read or Ignore? A Unified Benchmark for Typographic-Attack Robustness and Text Recognition in Vision-Language Models

• Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models

• P2GS: Physical Prior-guided Gaussian Splatting for Photometrically Consistent Urban Reconstruction 

• Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness

• STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes

• MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models

• One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression

• MRF-JOIN: Differentially Private Vertical Data Synthesis via Federated Marginal Join on Shared Attributes

• ACT-Bench: Towards Action Controllable World Models for Autonomous Driving

• eCommTouch: A Benchmark Dataset for Touch-based Continuous Mobile Device Authentication for e-Commerce

• Self-Preference Bias in LLM-as-a-Judge

• Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models

• Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection

• IPEQ: Querying Multi-Attribute Records with Inner Product Encryption

• Touch-based Continous Mobile Device Authentication Using One-vs-One Classification Approach

• Frequency-aware GAN for Adversarial Manipulation Generation

• Fair and Robust Metric for Evaluating Touch-based Continuous Mobile Device Authentication

• Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty

• HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data

• Network Shuffling: Privacy Amplification via Random Walks

• PEARL: Private Embeddings and Adversarial Reconstruction Learning

• Homomorphic Encryption-Friendly Privacy-Preserving Partitioning Algorithm for Differential Privacy

• Construction of Differentially Private Summaries Over Fully Homomorphic Encryption

• P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model

• Disentangling Clustered Representations of Variational Autoencoders for Generating Diverse Samples

• Differentially Private Variational Autoencoders with Term-wise Gradient Aggregation

• Locally Private Distributed Reinforcement Learning

• Sound Event Localization and Detection Using Convolutional Recurrent Neural Networks and Gated Linear Units

• Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks

• Glassmasq: Adversarial examples masquerading in face identification systems with feature extractor

• Autocyclone: Automatic mining of cyclic online activities with robust tensor factorization

• Efficient and tailor-made anonymization for relational and transactional medical records

• Improvement of pk-anonymization

• Top-down itemset recoding for releasing private complex data

• CMOA: continuous moving object anonymization

• TURank: Twitter user ranking based on user-tweet graph analysis

• A ranking method for web search using social bookmarks

• S-BITS: social-bookmarking induced topic search

Journals

• Scaling Private Deep Learning with Low-Rank and Sparse Gradients

• Acceleration of a Differentially Private Partitioning Algorithm over Homomorphic Encryption

• A Scheme for Fast k-Concealment Anonymization

• Privacy Preserving Publishing of Sensitive Attributes in Binary Relations

• Ranking Twitter Users Based on Information Propagation Graph Analysis

• Real-time k-anonymization for Trajectory Stream

• Social bookmarking induced active page ranking

Lecture / Tutorial / Invited Talk

• [Mar. 2024] Tutorial at DEIM 2025:「Vision Language Modelと完全自動運転AIの最新動向」

• [Dec. 2024] Tutorial at ADC 2024: "Security, Privacy, and Trust in Generative AI"

• [Nov. 2024] 順天堂大学「AI技術とビジネス活用」にて3コマ講義を担当しました

• [Jul. 2024] 統計数理研究所 リスク解析戦略研究センターシンポジウム2024に登壇

• [Jul. 2024] Tutorial at DASFAA2024: "Secure and Private Federated Learning with Differential Privacy"

  • 資料: https://speakerdeck.com/lycorptech_jp/dasfaa2024_tutorial

• [Jun. 2024] 東京工業大学「応用AI・データサイエンスA」にて講義をしました

• [Jun. 2024] 慶應義塾大学「先端研究(CI)」にてTrustworthy Machine Learningについて講義をしました

• [Jun. 2024] 早稲田大学「自然言語処理」にてTrustworthy Machine Learningについて講義をしました

• [Jun. 2024] デジタル庁で差分プライバシーに関する勉強会の講師をしました

  • 資料: https://speakerdeck.com/lycorptech_jp/20240624a

• [May. 2024] Oracle Developer Dayに登壇しました

  • 動画: https://youtu.be/SzBVnGbT5CQ?si=yAERle2GZZcu1f8W

• [Jan. 2024] 名古屋大学で差分プライバシーと連合学習に関する講義をしました

• [Nov. 2023] 順天堂大学「AI技術とビジネス活用」にて3コマ講義を担当

• [Oct. 2023] コンピュータセキュリティシンポジウム 2023 PWS企画「生成AIに関する問題と技術、制度的な対応について」に登壇しました

  • 資料: https://speakerdeck.com/lycorptech_jp/risks-and-countermeasures-for-generative-ai

• [Jul. 2023] 早稲田大学「自然言語処理」にてTrustworthy Machine Learningについて講義をしました

• [Jun. 2023] 慶應義塾大学「先端研究(CI)」にてDifferential Privacyについて講義をしました

• [Dec. 2022] 順天堂大学「AI技術とビジネス活用」にて3コマ講義を担当

• [Nov. 2022] 東京工業大学「応用AI・データサイエンスA」にて1コマ講義を担当

• [Jul. 2022] 早稲田大学「自然言語処理」にて1コマ講義を担当

• [Nov. 2021] 東京工業大学「応用AI・データサイエンスA」にて1コマ講義を担当

• [Jun. 2020] 東京大学大学院経済学研究科「AIビジネス活用」第8回「AIとセキュリティ・プライバシー」の講義をしました

• [Nov. 2019] 早稲田大学大学院基幹理工学研究科「情報検索」にて「Data Privacy -Data Anonymization and Differential Privacy-」の講義をしました

Academic Service

• PC: ICCV2025, CVPR2025, AAAI2025, ICLR2025, KDD2025, CVPR2024, KDD2024, AAAI2024, SDM2024, KDD2023, SDM2023, PPAI2023, KDD2022, SDM2022, ...

• DEIM2022産学連携委員長 / DEIM2021産学連携副委員長

• CSS2024,25 PWS Track Chair / CSS2023 PWS Track 副Chair

Award

• DBSJ Kambayashi Young Researcher Award (上林奨励賞)

• DEIM2022, DEIM2023 優秀論文賞

• CSS2024 CSS学生論文賞, CSS2023 CSS奨励賞

• 筑波大学大学院システム情報工学研究科コンピュータサイエンス専攻 専攻長表彰

Others

• [Feb. 2023] LINEで進むプライバシーテックの実装──基礎研究を経て、事業の最前線へ身を投じた2人が描く世界とは

• [Sep. 2019] 【不足するAI人材、その実態とは？】LINEのリサーチラボで働くAIリサーチャーの知られざる働き方 has been released.

• [Jul. 2019] 企業研究所カンファレンスCCSE2019に登壇しました