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2406.10090
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Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis
14 June 2024
Zhang Chen
Luca Demetrio
Srishti Gupta
Xiaoyi Feng
Zhaoqiang Xia
Antonio Emanuele Cinà
Maura Pintor
Luca Oneto
Ambra Demontis
Battista Biggio
Fabio Roli
AAML
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Papers citing
"Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis"
4 / 4 papers shown
Title
Data Poisoning in Deep Learning: A Survey
Pinlong Zhao
Weiyao Zhu
Pengfei Jiao
Di Gao
Ou Wu
AAML
34
0
0
27 Mar 2025
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
24
19
0
15 Sep 2022
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
44
100
0
07 Oct 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
136
368
0
09 May 2020
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