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Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial
  Robustness

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness

13 October 2021
Xiao Yang
Yinpeng Dong
Wenzhao Xiang
Tianyu Pang
Hang Su
Jun Zhu
    AAML
ArXivPDFHTML

Papers citing "Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness"

4 / 4 papers shown
Title
Towards Effective Adversarial Textured 3D Meshes on Physical Face
  Recognition
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
X. Yang
Chang-Shu Liu
Longlong Xu
Yikai Wang
Yinpeng Dong
Ning Chen
Hang Su
Jun Zhu
AAML
37
39
0
28 Mar 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
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
1