Beyond In-Domain Scenarios: Robust Density-Aware Calibration. - Christian Tomani; Futa Kai Waseda; Yuesong Shen; Daniel Cremers (ICML, 2023)

Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently. - Futa Waseda; Sosuke Nishikawa; Trung-Nghia Le; Huy H. Nguyen; Isao Echizen (WACV, 2023)

Defending Against Physical Adversarial Patch attacks On Infrared Human Detection. - Lukas Strack; Futa Waseda; Huy H. Nguyen; Yinqiang Zheng; Isao Echizen (ICIP, 2024)

Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off. - Futa Waseda; Isao Echizen (CoRR, 2024)

Leveraging Many-To-Many Relationships for Defending Against Visual-Language Adversarial Attacks. - Futa Waseda; Antonio Tejero-de-Pablos (CoRR, 2024)

MergePrint: Robust Fingerprinting against Merging Large Language Models. - Shojiro Yamabe; Tsubasa Takahashi 001; Futa Waseda; Koki Wataoka (CoRR, 2024)

MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models. - Shojiro Yamabe; Futa Kai Waseda; Tsubasa Takahashi 001; Koki Wataoka (ACL (1), 2025)

Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off. - Futa Kai Waseda; Ching-Chun Chang; Isao Echizen (ICLR, 2025)

Quality Text, Robust Vision: The Role of Language in Enhancing Visual Robustness of Vision-Language Models. - Futa Waseda; Saku Sugawara; Isao Echizen (CoRR, 2025)