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LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks

LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks

27 February 2025
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
    AAML
ArXivPDFHTML

Papers citing "LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks"

13 / 13 papers shown
Title
Adversarial purification with Score-based generative models
Adversarial purification with Score-based generative models
Jongmin Yoon
Sung Ju Hwang
Juho Lee
DiffM
51
156
0
11 Jun 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
239
2,321
0
04 Mar 2021
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
344
17,550
0
19 Jun 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
198
1,821
0
03 Mar 2020
Square Attack: a query-efficient black-box adversarial attack via random
  search
Square Attack: a query-efficient black-box adversarial attack via random search
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
AAML
61
977
0
29 Nov 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial
  Perturbations
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
AAML
112
19
0
08 Oct 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary
  Attack
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Francesco Croce
Matthias Hein
AAML
82
483
0
03 Jul 2019
Unlabeled Data Improves Adversarial Robustness
Unlabeled Data Improves Adversarial Robustness
Y. Carmon
Aditi Raghunathan
Ludwig Schmidt
Percy Liang
John C. Duchi
108
752
0
31 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
123
17,950
0
28 May 2019
The Space of Transferable Adversarial Examples
The Space of Transferable Adversarial Examples
Florian Tramèr
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
SILM
71
555
0
11 Apr 2017
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
564
27,231
0
02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.1K
99,991
0
04 Sep 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
199
14,831
1
21 Dec 2013
1