Understanding the Interaction of Adversarial Training with Noisy Labels

Understanding the Interaction of Adversarial Training with Noisy Labels

6 February 2021

Bo Han

Hongxia Yang

Mohan S. Kankanhalli

Masashi Sugiyama

Papers citing "Understanding the Interaction of Adversarial Training with Noisy Labels"

7 / 7 papers shown

Title
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui Junzhe Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 119 8 0 20 Feb 2025
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval Qiwei Tian Chenhao Lin Zhengyu Zhao Qian Li Chao Shen 31 2 0 12 Dec 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels Chuanyan Hu Shipeng Yan Zhitong Gao Xuming He NoLa 24 4 0 20 Jun 2023
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection Mohammad Azizmalayeri Arman Zarei Alireza Isavand M. T. Manzuri M. Rohban OODD 35 0 0 25 Jan 2023
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 83 16 0 31 Jan 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 194 345 0 15 Dec 2021
Geometry-aware Instance-reweighted Adversarial Training Jingfeng Zhang Jianing Zhu Gang Niu Bo Han Masashi Sugiyama Mohan S. Kankanhalli AAML 47 269 0 05 Oct 2020