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2202.04347
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Gradient Methods Provably Converge to Non-Robust Networks
9 February 2022
Gal Vardi
Gilad Yehudai
Ohad Shamir
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Papers citing
"Gradient Methods Provably Converge to Non-Robust Networks"
22 / 22 papers shown
Title
Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on
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\mathbb{so}(d)
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Amit Daniely
28
0
0
14 Jun 2025
MALT Powers Up Adversarial Attacks
Odelia Melamed
Gilad Yehudai
Adi Shamir
AAML
54
0
0
02 Jul 2024
The Implicit Bias of Adam on Separable Data
Chenyang Zhang
Difan Zou
Yuan Cao
AI4CE
94
9
0
15 Jun 2024
The Price of Implicit Bias in Adversarially Robust Generalization
Nikolaos Tsilivis
Natalie Frank
Nathan Srebro
Julia Kempe
106
4
0
07 Jun 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability
Rajdeep Haldar
Yue Xing
Qifan Song
53
3
0
06 Mar 2024
Upper and lower bounds for the Lipschitz constant of random neural networks
Paul Geuchen
Dominik Stöger
Dominik Stöger
Felix Voigtlaender
AAML
120
0
0
02 Nov 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
Eric Aubinais
Elisabeth Gassiat
Pablo Piantanida
MIACV
172
2
0
20 Oct 2023
Is Certifying
ℓ
p
\ell_p
ℓ
p
Robustness Still Worthwhile?
Ravi Mangal
Klas Leino
Zifan Wang
Kai Hu
Weicheng Yu
Corina S. Pasareanu
Anupam Datta
Matt Fredrikson
AAML
OOD
84
1
0
13 Oct 2023
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs
D. Chistikov
Matthias Englert
R. Lazic
MLT
102
12
0
10 Jun 2023
Deep ReLU Networks Have Surprisingly Simple Polytopes
Fenglei Fan
Wei Huang
Xiang-yu Zhong
Lecheng Ruan
T. Zeng
Huan Xiong
Fei Wang
112
5
0
16 May 2023
Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
86
23
0
02 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
83
17
0
02 Mar 2023
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
Odelia Melamed
Gilad Yehudai
Gal Vardi
GAN
60
2
0
01 Mar 2023
Simplicity Bias in 1-Hidden Layer Neural Networks
Depen Morwani
Jatin Batra
Prateek Jain
Praneeth Netrapalli
103
21
0
01 Feb 2023
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
M. Scetbon
Elvis Dohmatob
AAML
50
3
0
31 Jan 2023
Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
Wei Hu
MLT
83
42
0
13 Oct 2022
On the Implicit Bias in Deep-Learning Algorithms
Gal Vardi
FedML
AI4CE
101
81
0
26 Aug 2022
Shortcut Learning of Large Language Models in Natural Language Understanding
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Helen Zhou
KELM
OffRL
134
90
0
25 Aug 2022
Adversarial Robustness is at Odds with Lazy Training
Yunjuan Wang
Enayat Ullah
Poorya Mianjy
R. Arora
SILM
AAML
114
11
0
18 Jun 2022
Adversarial Reprogramming Revisited
Matthias Englert
R. Lazic
AAML
100
11
0
07 Jun 2022
Adversarial Examples in Random Neural Networks with General Activations
Andrea Montanari
Yuchen Wu
GAN
AAML
103
14
0
31 Mar 2022
On Margin Maximization in Linear and ReLU Networks
Gal Vardi
Ohad Shamir
Nathan Srebro
162
30
0
06 Oct 2021
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