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With Friends Like These, Who Needs Adversaries?

With Friends Like These, Who Needs Adversaries?

11 July 2018
Saumya Jetley
Nicholas A. Lord
Philip H. S. Torr
    AAML
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Papers citing "With Friends Like These, Who Needs Adversaries?"

12 / 12 papers shown
Title
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
Eric Xue
Yijiang Li
Haoyang Liu
Yifan Shen
Haohan Wang
Haohan Wang
DD
61
8
0
15 Mar 2024
On The Relationship Between Universal Adversarial Attacks And Sparse
  Representations
On The Relationship Between Universal Adversarial Attacks And Sparse Representations
Dana Weitzner
Raja Giryes
AAML
29
0
0
14 Nov 2023
Attacking deep networks with surrogate-based adversarial black-box
  methods is easy
Attacking deep networks with surrogate-based adversarial black-box methods is easy
Nicholas A. Lord
Romain Mueller
Luca Bertinetto
AAML
MLAU
19
24
0
16 Mar 2022
On the regularized risk of distributionally robust learning over deep
  neural networks
On the regularized risk of distributionally robust learning over deep neural networks
Camilo A. Garcia Trillos
Nicolas García Trillos
OOD
42
10
0
13 Sep 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 Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Universal Adversarial Training with Class-Wise Perturbations
Universal Adversarial Training with Class-Wise Perturbations
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
17
26
0
07 Apr 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
Semi-Lexical Languages -- A Formal Basis for Unifying Machine Learning
  and Symbolic Reasoning in Computer Vision
Semi-Lexical Languages -- A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision
Briti Gangopadhyay
S. Hazra
P. Dasgupta
NAI
23
0
0
25 Apr 2020
Detecting and Diagnosing Adversarial Images with Class-Conditional
  Capsule Reconstructions
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
Yao Qin
Nicholas Frosst
S. Sabour
Colin Raffel
G. Cottrell
Geoffrey E. Hinton
GAN
AAML
19
71
0
05 Jul 2019
Defending Against Universal Perturbations With Shared Adversarial
  Training
Defending Against Universal Perturbations With Shared Adversarial Training
Chaithanya Kumar Mummadi
Thomas Brox
J. H. Metzen
AAML
18
60
0
10 Dec 2018
Robustness via curvature regularization, and vice versa
Robustness via curvature regularization, and vice versa
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
J. Uesato
P. Frossard
AAML
23
318
0
23 Nov 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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