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Training on Foveated Images Improves Robustness to Adversarial Attacks

Training on Foveated Images Improves Robustness to Adversarial Attacks

1 August 2023
Muhammad Ahmed Shah
Bhiksha Raj
    AAML
ArXivPDFHTML

Papers citing "Training on Foveated Images Improves Robustness to Adversarial Attacks"

5 / 5 papers shown
Title
On Inherent Adversarial Robustness of Active Vision Systems
On Inherent Adversarial Robustness of Active Vision Systems
Amitangshu Mukherjee
Timur Ibrayev
Kaushik Roy
AAML
28
0
0
29 Mar 2024
Finding Biological Plausibility for Adversarially Robust Features via
  Metameric Tasks
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks
A. Harrington
Arturo Deza
OOD
AAML
13
20
0
02 Feb 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
467
0
02 Feb 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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