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The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness
  in ReLU Networks

The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks

2 March 2023
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
ArXivPDFHTML

Papers citing "The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks"

7 / 7 papers shown
Title
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Binghui Li
Yuanzhi Li
OOD
28
2
0
11 Oct 2024
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from
  KKT Conditions for Margin Maximization
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
27
22
0
02 Mar 2023
On the Effective Number of Linear Regions in Shallow Univariate ReLU
  Networks: Convergence Guarantees and Implicit Bias
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran
Gal Vardi
Jason D. Lee
MLT
41
23
0
18 May 2022
On Margin Maximization in Linear and ReLU Networks
On Margin Maximization in Linear and ReLU Networks
Gal Vardi
Ohad Shamir
Nathan Srebro
40
27
0
06 Oct 2021
Towards Understanding Learning in Neural Networks with Linear Teachers
Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi
Alon Brutzkus
Amir Globerson
FedML
MLT
50
20
0
07 Jan 2021
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
60
228
0
25 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
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