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Adversarial Examples in Random Neural Networks with General Activations

Adversarial Examples in Random Neural Networks with General Activations

31 March 2022
Andrea Montanari
Yuchen Wu
    GAN
    AAML
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Papers citing "Adversarial Examples in Random Neural Networks with General Activations"

11 / 11 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
MALT Powers Up Adversarial Attacks
MALT Powers Up Adversarial Attacks
Odelia Melamed
Gilad Yehudai
Adi Shamir
AAML
28
0
0
02 Jul 2024
Upper and lower bounds for the Lipschitz constant of random neural
  networks
Upper and lower bounds for the Lipschitz constant of random neural networks
Paul Geuchen
Thomas Heindl
Dominik Stöger
Felix Voigtlaender
AAML
27
0
0
02 Nov 2023
Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural
  Networks
Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks
Renyang Liu
Wei Zhou
Jinhong Zhang
Xiaoyuan Liu
Peiyuan Si
Haoran Li
AAML
20
0
0
15 Oct 2023
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
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
32
17
0
02 Mar 2023
Adversarial Examples Exist in Two-Layer ReLU Networks for Low
  Dimensional Linear Subspaces
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
Odelia Melamed
Gilad Yehudai
Gal Vardi
GAN
13
1
0
01 Mar 2023
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
Yuchen Wu
Kangjie Zhou
19
6
0
07 Nov 2022
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural
  Networks
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks
Huishuai Zhang
Da Yu
Yiping Lu
Di He
AAML
22
1
0
09 Jun 2022
Adversarial Reprogramming Revisited
Adversarial Reprogramming Revisited
Matthias Englert
R. Lazic
AAML
21
8
0
07 Jun 2022
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
60
230
0
25 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
1