Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2003.09347
Cited By
v1
v2
v3 (latest)
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing
18 March 2020
Chawin Sitawarin
S. Chakraborty
David Wagner
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing"
26 / 26 papers shown
AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks
Zhenyu Liu
H. Liang
Xinrun Li
V. Snás̃el
Varun Ojha
AAML
170
0
0
24 Aug 2025
D2R: dual regularization loss with collaborative adversarial generation for model robustness
International Conference on Artificial Neural Networks (ICANN), 2025
Zhenyu Liu
H. Liang
R. Ranjan
Zhanxing Zhu
V. Snás̃el
Varun Ojha
167
2
0
08 Jun 2025
Sustainable Self-evolution Adversarial Training
ACM Multimedia (MM), 2024
Wenxuan Wang
Chenglei Wang
Huihui Qi
Menghao Ye
Xuelin Qian
Peng Wang
Yanning Zhang
AAML
449
0
0
03 Dec 2024
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
Zhenyu Liu
Haoran Duan
Huizhi Liang
Yang Long
V. Snás̃el
G. Nicosia
R. Ranjan
Varun Ojha
AAML
218
3
0
23 Aug 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
Kejia Zhang
Juanjuan Weng
Junwei Wu
Guoqing Yang
Shaozi Li
Shaozi Li
AAML
286
1
0
17 Jun 2024
Catastrophic Overfitting: A Potential Blessing in Disguise
Mengnan Zhao
Lihe Zhang
Yuqiu Kong
Baocai Yin
AAML
276
2
0
28 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda
Ching-Chun Chang
Isao Echizen
AAML
572
3
0
22 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang
Tianle Zhang
Kai Wang
Ziyao Guo
Yuxuan Liang
Xavier Bresson
Wei Jin
Yang You
622
38
0
07 Feb 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
International Conference on Learning Representations (ICLR), 2024
Shruthi Gowda
Bahram Zonooz
Elahe Arani
AAML
340
5
0
26 Jan 2024
Topology-Preserving Adversarial Training
Xiaoyue Mi
Fan Tang
Yepeng Weng
Danding Wang
Juan Cao
Sheng Tang
Peng Li
Yang Liu
336
1
0
29 Nov 2023
Robustness to Multi-Modal Environment Uncertainty in MARL using Curriculum Learning
Aakriti Agrawal
R. Aralikatti
Yanchao Sun
Furong Huang
236
1
0
12 Oct 2023
Splitting the Difference on Adversarial Training
USENIX Security Symposium (USENIX Security), 2023
Matan Levi
A. Kontorovich
263
9
0
03 Oct 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
IEEE International Conference on Computer Vision (ICCV), 2023
Satoshi Suzuki
Shin'ya Yamaguchi
Shoichiro Takeda
Sekitoshi Kanai
Naoki Makishima
Atsushi Ando
Ryo Masumura
AAML
318
8
0
31 Aug 2023
Advancing Adversarial Robustness Through Adversarial Logit Update
Hao Xuan
Peican Zhu
Xingyu Li
AAML
296
0
0
29 Aug 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yang Liu
YueFeng Chen
Xiaofeng Mao
Ranjie Duan
Jindong Gu
Rong Zhang
H. Xue
Xiaochun Cao
AAML
294
16
0
22 Aug 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
IEEE Access (IEEE Access), 2023
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
429
127
0
18 May 2023
Robust Models are less Over-Confident
Neural Information Processing Systems (NeurIPS), 2022
Julia Grabinski
Paul Gavrikov
J. Keuper
Margret Keuper
AAML
332
33
0
12 Oct 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
International Conference on Machine Learning (ICML), 2022
Junlin Wu
Yevgeniy Vorobeychik
277
24
0
21 Jun 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method
International Conference on Machine Learning (ICML), 2022
Keiichiro Yamamura
Haruki Sato
Nariaki Tateiwa
Nozomi Hata
Toru Mitsutake
Issa Oe
Hiroki Ishikura
Katsuki Fujisawa
AAML
303
18
0
20 Jun 2022
Adversarial Robustness through the Lens of Convolutional Filters
Paul Gavrikov
J. Keuper
177
15
0
05 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Computer Vision and Pattern Recognition (CVPR), 2022
Paul Gavrikov
J. Keuper
AAML
313
37
0
29 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy
Computer Vision and Pattern Recognition (CVPR), 2022
Yang Liu
Yong Zhang
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
217
179
0
13 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Mo Zhou
Vishal M. Patel
AAML
238
19
0
02 Mar 2022
Constrained Learning with Non-Convex Losses
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Luiz F. O. Chamon
Santiago Paternain
Miguel Calvo-Fullana
Alejandro Ribeiro
452
60
0
08 Mar 2021
Towards Robust Neural Networks via Orthogonal Diversity
Pattern Recognition (Pattern Recognit.), 2020
Kun Fang
Qinghua Tao
Yingwen Wu
Tao Li
Jia Cai
Feipeng Cai
Xiaolin Huang
Jie Yang
AAML
327
14
0
23 Oct 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
996
25
0
19 May 2020
1
Page 1 of 1
