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2102.02950
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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
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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
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?
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
Shudong Zhang
Haichang Gao
Tianwei Zhang
Yunyi Zhou
Zihui Wu
AAML
82
4
0
24 May 2022
Smoothness Analysis of Adversarial Training
Sekitoshi Kanai
Masanori Yamada
Hiroshi Takahashi
Yuki Yamanaka
Yasutoshi Ida
AAML
106
6
0
02 Mar 2021
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