Enhancing Quantum-ready QUBO-based Suppression for Object Detection with Appearance and Confidence Features - Keiichiro Yamamura; Toru Mitsutake; Hiroki Ishikura; Daiki Kusuhara; Akihiro Yoshida; Katsuki Fujisawa (CoRR, 2025)

Appropriate Balance of Diversification and Intensification Improves Performance and Efficiency of Adversarial Attacks - Keiichiro Yamamura; Issa Oe; Nozomi Hata; Hiroki Ishikura; Katsuki Fujisawa (Trans. Mach. Learn. Res., 2024)

Enhancing Output Diversity Improves Conjugate Gradient-Based Adversarial Attacks - Keiichiro Yamamura; Issa Oe; Hiroki Ishikura; Katsuki Fujisawa (Pattern Recognition and Artificial Intelligence - 4th International Conference, ICPRAI 2024, Jeju Island, South Korea, July 03-06, 2024, Proceedings, Part I, 2024)

Doubling Graph Traversal Efficiency to 198 TeraTEPS on the Supercomputer Fugaku - Junya Arai; Masahiro Nakao; Yuto Inoue; Kanto Teranishi; Koji Ueno; Keiichiro Yamamura; Mitsuhisa Sato; Katsuki Fujisawa (Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2024, Atlanta, GA, USA, November 17-22, 2024, 2024)

Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks - Keiichiro Yamamura; Issa Oe; Hiroki Ishikura; Katsuki Fujisawa (CoRR, 2024)

Superpixel Attack - Enhancing Black-Box Adversarial Attack with Image-Driven Division Areas - Issa Oe; Keiichiro Yamamura; Hiroki Ishikura; Ryo Hamahira; Katsuki Fujisawa (AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I, 2023)

Development and Evaluation of Embedding Methods for Graphs with Multi Attributes - Miyu Fujii; David Taingngin; Keiichiro Yamamura; Nozomi Hata; Hiroki Kai; Ryuji Noda; Hiroki Ishikura; Tatsuru Higurashi; Katsuki Fujisawa (IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, 2022)

Diversified Adversarial Attacks based on Conjugate Gradient Method - Keiichiro Yamamura; Haruki Sato; Nariaki Tateiwa; Nozomi Hata; Toru Mitsutake; Issa Oe; Hiroki Ishikura; Katsuki Fujisawa (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Diversified Adversarial Attacks based on Conjugate Gradient Method - Keiichiro Yamamura; Haruki Sato; Nariaki Tateiwa; Nozomi Hata; Toru Mitsutake; Issa Oe; Hiroki Ishikura; Katsuki Fujisawa (CoRR, 2022)

CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems - Nariaki Tateiwa; Yuji Shinano; Keiichiro Yamamura; Akihiro Yoshida; Shizuo Kaji; Masaya Yasuda; Katsuki Fujisawa (28th IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021, Bengaluru, India, December 17-20, 2021, 2021)