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Hold me tight! Influence of discriminative features on deep network
  boundaries

Hold me tight! Influence of discriminative features on deep network boundaries

15 February 2020
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
    AAML
ArXivPDFHTML

Papers citing "Hold me tight! Influence of discriminative features on deep network boundaries"

18 / 18 papers shown
Title
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on
  Robustness
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
Honghao Chen
Yurong Zhang
Xiaokun Feng
Xiangxiang Chu
Kaiqi Huang
AAML
51
6
0
12 Jul 2024
SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks
SkelEx and BoundEx: Natural Visualization of ReLU Neural Networks
Pawel Pukowski
Haiping Lu
42
0
0
09 May 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial
  Robustness
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
49
9
0
17 Mar 2023
Fourier Sensitivity and Regularization of Computer Vision Models
Fourier Sensitivity and Regularization of Computer Vision Models
K. Krishnamachari
See-Kiong Ng
Chuan-Sheng Foo
OOD
44
2
0
31 Jan 2023
The Vanishing Decision Boundary Complexity and the Strong First
  Component
The Vanishing Decision Boundary Complexity and the Strong First Component
Hengshuai Yao
UQCV
41
0
0
25 Nov 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Models Out of Line: A Fourier Lens on Distribution Shift Robustness
Sara Fridovich-Keil
Brian Bartoldson
James Diffenderfer
B. Kailkhura
P. Bremer
OOD
66
0
0
08 Jul 2022
How Does Frequency Bias Affect the Robustness of Neural Image
  Classifiers against Common Corruption and Adversarial Perturbations?
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Alvin Chan
Yew-Soon Ong
Clement Tan
AAML
29
13
0
09 May 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
Hanieh Naderi
Kimia Noorbakhsh
Arian Etemadi
S. Kasaei
AAML
28
12
0
23 Feb 2022
Spectral Bias in Practice: The Role of Function Frequency in
  Generalization
Spectral Bias in Practice: The Role of Function Frequency in Generalization
Sara Fridovich-Keil
Raphael Gontijo-Lopes
Rebecca Roelofs
51
28
0
06 Oct 2021
Are socially-aware trajectory prediction models really socially-aware?
Are socially-aware trajectory prediction models really socially-aware?
Saeed Saadatnejad
Mohammadhossein Bahari
Pedram J. Khorsandi
Mohammad Saneian
Seyed-Mohsen Moosavi-Dezfooli
Alexandre Alahi
AAML
84
42
0
24 Aug 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks
Reveal of Vision Transformers Robustness against Adversarial Attacks
Ahmed Aldahdooh
W. Hamidouche
Olivier Déforges
ViT
17
57
0
07 Jun 2021
When Deep Classifiers Agree: Analyzing Correlations between Learning
  Order and Image Statistics
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics
Iuliia Pliushch
Martin Mundt
Nicolas Lupp
Visvanathan Ramesh
23
12
0
19 May 2021
Vision Transformers are Robust Learners
Vision Transformers are Robust Learners
Sayak Paul
Pin-Yu Chen
ViT
28
310
0
17 May 2021
On the benefits of robust models in modulation recognition
On the benefits of robust models in modulation recognition
Javier Maroto
Gérôme Bovet
P. Frossard
AAML
34
4
0
27 Mar 2021
On the effectiveness of adversarial training against common corruptions
On the effectiveness of adversarial training against common corruptions
Klim Kireev
Maksym Andriushchenko
Nicolas Flammarion
AAML
24
103
0
03 Mar 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep
  Learning
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
78
19
0
04 Jan 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
44
48
0
19 Oct 2020
Neural Anisotropy Directions
Neural Anisotropy Directions
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
40
16
0
17 Jun 2020
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