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Understanding the Interaction of Adversarial Training with Noisy Labels
6 February 2021
Jianing Zhu
Jingfeng Zhang
Bo Han
Tongliang Liu
Gang Niu
Hongxia Yang
Mohan Kankanhalli
Masashi Sugiyama
AAML
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Papers citing
"Understanding the Interaction of Adversarial Training with Noisy Labels"
22 / 22 papers shown
Accurate Forgetting for Heterogeneous Federated Continual Learning
International Conference on Learning Representations (ICLR), 2025
Abudukelimu Wuerkaixi
Sen Cui
J.N. Zhang
Kunda Yan
Bo Han
Gang Niu
Lei Fang
Changshui Zhang
Masashi Sugiyama
604
24
0
20 Feb 2025
Informed Deep Abstaining Classifier: Investigating noise-robust training for diagnostic decision support systems
H. Schneider
Sebastian Nowak
Aditya Parikh
Yannik C. Layer
Maike Theis
Wolfgang Block
Alois M. Sprinkart
U. Attenberger
R. Sifa
NoLa
168
2
0
28 Oct 2024
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation
Tsung-Han Wu
Hung-Ting Su
Shang-Tse Chen
Winston H. Hsu
364
2
0
19 Sep 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation
Xiaoling Zhou
Wei Ye
Zhemg Lee
Rui Xie
Shi-Bo Zhang
342
7
0
25 Apr 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
International Conference on Machine Learning (ICML), 2023
Qiwei Tian
Chenhao Lin
Subrat Kishore Dutta
Qian Li
Chao Shen
365
3
0
12 Dec 2023
Combating Bilateral Edge Noise for Robust Link Prediction
Neural Information Processing Systems (NeurIPS), 2023
Zhanke Zhou
Jiangchao Yao
Jiaxu Liu
Xiawei Guo
Quanming Yao
Li He
Liang Wang
Bo Zheng
Bo Han
AAML
NoLa
315
22
0
02 Nov 2023
Outlier Robust Adversarial Training
Asian Conference on Machine Learning (ACML), 2023
Shu Hu
Zhenhuan Yang
X. Wang
Yiming Ying
Siwei Lyu
AAML
259
10
0
10 Sep 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Chuanyan Hu
Shipeng Yan
Zhitong Gao
Xuming He
NoLa
294
9
0
20 Jun 2023
Combining Adversaries with Anti-adversaries in Training
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xiaoling Zhou
Nan Yang
Ou Wu
AAML
235
12
0
25 Apr 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
ACM Computing Surveys (ACM Comput. Surv.), 2023
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
409
16
0
17 Mar 2023
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection
International Computer Society of Iran Computer Conference (CSIC), 2023
Mohammad Azizmalayeri
Arman Zarei
Alireza Isavand
M. T. Manzuri
M. Rohban
OODD
212
0
0
25 Jan 2023
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
Neural Information Processing Systems (NeurIPS), 2022
Jianan Zhou
Jianing Zhu
Jingfeng Zhang
Tongliang Liu
Gang Niu
Bo Han
Masashi Sugiyama
AAML
203
12
0
01 Nov 2022
A law of adversarial risk, interpolation, and label noise
International Conference on Learning Representations (ICLR), 2022
Daniel Paleka
Amartya Sanyal
NoLa
AAML
389
10
0
08 Jul 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
Neural Information Processing Systems (NeurIPS), 2022
Lue Tao
Lei Feng
Jianguo Huang
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
760
17
0
31 Jan 2022
Local Reweighting for Adversarial Training
Ruize Gao
Yifan Zhang
Kaiwen Zhou
Gang Niu
Bo Han
James Cheng
AAML
OOD
162
6
0
30 Jun 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels
Jingfeng Zhang
Xilie Xu
Bo Han
Tongliang Liu
Gang Niu
Li-zhen Cui
Masashi Sugiyama
NoLa
AAML
266
9
0
31 May 2021
Multiplicative Reweighting for Robust Neural Network Optimization
SIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021
Noga Bar
Tomer Koren
Raja Giryes
OOD
NoLa
832
8
0
24 Feb 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Neural Information Processing Systems (NeurIPS), 2021
Lue Tao
Lei Feng
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
547
84
0
09 Feb 2021
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
Ruize Gao
Yifan Zhang
Jingfeng Zhang
Bo Han
Tongliang Liu
Gang Niu
Masashi Sugiyama
AAML
330
76
0
22 Oct 2020
Geometry-aware Instance-reweighted Adversarial Training
International Conference on Learning Representations (ICLR), 2020
Jingfeng Zhang
Jianing Zhu
Gang Niu
Bo Han
Masashi Sugiyama
Mohan Kankanhalli
AAML
415
312
0
05 Oct 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
Neural Information Processing Systems (NeurIPS), 2020
Vitaly Feldman
Chiyuan Zhang
TDI
710
597
0
09 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
1.4K
1,294
0
16 Jul 2020
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