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Biologically Inspired Mechanisms for Adversarial Robustness

Biologically Inspired Mechanisms for Adversarial Robustness

29 June 2020
M. V. Reddy
Andrzej Banburski
Nishka Pant
T. Poggio
    AAML
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Papers citing "Biologically Inspired Mechanisms for Adversarial Robustness"

13 / 13 papers shown
Title
Training on Foveated Images Improves Robustness to Adversarial Attacks
Training on Foveated Images Improves Robustness to Adversarial Attacks
Muhammad Ahmed Shah
Bhiksha Raj
AAML
38
4
0
01 Aug 2023
LSFSL: Leveraging Shape Information in Few-shot Learning
LSFSL: Leveraging Shape Information in Few-shot Learning
Deepan Padmanabhan
Shruthi Gowda
Elahe Arani
Bahram Zonooz
31
6
0
13 Apr 2023
A Rubric for Human-like Agents and NeuroAI
A Rubric for Human-like Agents and NeuroAI
Ida Momennejad
57
14
0
08 Dec 2022
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
27
20
0
02 Feb 2022
On the use of Cortical Magnification and Saccades as Biological Proxies
  for Data Augmentation
On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation
Binxu Wang
David Mayo
Arturo Deza
Andrei Barbu
C. Conwell
33
12
0
14 Dec 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
31
236
0
01 Aug 2021
Adversarial Visual Robustness by Causal Intervention
Adversarial Visual Robustness by Causal Intervention
Kaihua Tang
Ming Tao
Hanwang Zhang
CML
AAML
27
21
0
17 Jun 2021
FoveaTer: Foveated Transformer for Image Classification
FoveaTer: Foveated Transformer for Image Classification
Aditya Jonnalagadda
Wei Wang
B. S. Manjunath
Miguel P. Eckstein
ViT
38
23
0
29 May 2021
Bio-inspired Robustness: A Review
Bio-inspired Robustness: A Review
Harshitha Machiraju
Oh-hyeon Choung
P. Frossard
Michael H. Herzog
AAML
30
1
0
16 Mar 2021
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
29
48
0
19 Oct 2020
Emergent Properties of Foveated Perceptual Systems
Emergent Properties of Foveated Perceptual Systems
Arturo Deza
Talia Konkle
24
45
0
14 Jun 2020
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention
  across Neural Network Layers
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers
Baihan Lin
16
2
0
27 Feb 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
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