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PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks

31 May 2018
Jan Svoboda
Jonathan Masci
Federico Monti
M. Bronstein
Leonidas J. Guibas
    AAML
    GNN
ArXivPDFHTML

Papers citing "PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks"

5 / 5 papers shown
Title
Graphs as Tools to Improve Deep Learning Methods
Graphs as Tools to Improve Deep Learning Methods
Carlos Lassance
Myriam Bontonou
Mounia Hamidouche
Bastien Pasdeloup
Lucas Drumetz
Vincent Gripon
GNN
AI4CE
AAML
33
0
0
08 Oct 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
22
235
0
01 Aug 2021
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated
  Gradients
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients
Yifei Huang
Yaodong Yu
Hongyang R. Zhang
Yi-An Ma
Yuan Yao
AAML
23
26
0
28 Sep 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
233
3,230
0
24 Nov 2016
1