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Futa Waseda
Futa Waseda
Подтвержден адрес электронной почты в домене g.ecc.u-tokyo.ac.jp - Главная страница
Название
Процитировано
Процитировано
Год
Closer look at the transferability of adversarial examples: How they fool different models differently
F Waseda, S Nishikawa, TN Le, HH Nguyen, I Echizen
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
402023
Beyond in-domain scenarios: robust density-aware calibration
C Tomani*, F Waseda*, Y Shen, D Cremers
International Conference on Machine Learning (ICML 2023), 34344-34368, 2023
102023
Bidding agent for electric vehicles in peer-to-peer electricity trading market considering uncertainty
F Waseda, K Tanaka
2020 IEEE International Conference on Environment and Electrical Engineering …, 2020
32020
MergePrint: Robust Fingerprinting against Merging Large Language Models
S Yamabe*, F Waseda*, T Takahashi, K Wataoka
arXiv preprint arXiv:2410.08604, 2024
12024
Leveraging Many-To-Many Relationships for Defending Against Visual-Language Adversarial Attacks
F Waseda, A Tejero-de-Pablos
arXiv preprint arXiv:2405.18770, 2024
2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
F Waseda, CC Chang, I Echizen
ICLR 2025, 2024
2024
Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection
L Strack*, F Waseda*, HH Nguyen, Y Zheng, I Echizen
2024 IEEE International Conference on Image Processing (ICIP2024), 2023
2023
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