ML
ICLR

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training

April 24, 2022
                                                            @inproceedings{bui2022unified,
title={A Unified Wasserstein Distributional Robustness Framework for Adversarial Training},
author={Bui, Anh Tuan and Le, Trung and Tran, Quan Hung and Zhao, He and Phung, Dinh},
booktitle={International on Learning Representation (ICLR) 2022},
year={2022}
}                                                            
Back to research

Overall

< 1 minute

Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Phung

ICLR 2022

Share Article

Related publications

ML
ICML Top Tier
May 16, 2024

Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung

ML
ICML Top Tier
May 16, 2024

Vy Vo, Trung Le, Tung-Long Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung

ML
ICML Top Tier
May 14, 2024

Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying

GenAI
ML
ICML Top Tier
May 14, 2024

Bao Nguyen, Binh Nguyen, Hieu Nguyen, Viet Anh Nguyen