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Adversarial Training Makes Weight Loss Landscape Sharper in Logistic
  Regression

Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression

5 February 2021
Masanori Yamada
Sekitoshi Kanai
Tomoharu Iwata
Tomokatsu Takahashi
Yuki Yamanaka
Hiroshi Takahashi
Atsutoshi Kumagai
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression"

4 / 4 papers shown
Title
Exploring the Relationship between Architecture and Adversarially Robust
  Generalization
Exploring the Relationship between Architecture and Adversarially Robust Generalization
Aishan Liu
Shiyu Tang
Siyuan Liang
Ruihao Gong
Boxi Wu
Xianglong Liu
Dacheng Tao
AAML
102
18
0
28 Sep 2022
Why Adversarial Training of ReLU Networks Is Difficult?
Why Adversarial Training of ReLU Networks Is Difficult?
Xu Cheng
Hao Zhang
Yue Xin
Wen Shen
Jie Ren
Quanshi Zhang
AAML
68
3
0
30 May 2022
Alleviating Robust Overfitting of Adversarial Training With Consistency
  Regularization
Alleviating Robust Overfitting of Adversarial Training With Consistency Regularization
Shudong Zhang
Haichang Gao
Tianwei Zhang
Yunyi Zhou
Zihui Wu
AAML
82
4
0
24 May 2022
Smoothness Analysis of Adversarial Training
Smoothness Analysis of Adversarial Training
Sekitoshi Kanai
Masanori Yamada
Hiroshi Takahashi
Yuki Yamanaka
Yasutoshi Ida
AAML
106
6
0
02 Mar 2021
1