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On the Limitation of MagNet Defense against $L_1$-based Adversarial
  Examples

On the Limitation of MagNet Defense against L1L_1L1​-based Adversarial Examples

14 April 2018
Pei-Hsuan Lu
Pin-Yu Chen
Kang-Cheng Chen
Chia-Mu Yu
    AAML
ArXivPDFHTML

Papers citing "On the Limitation of MagNet Defense against $L_1$-based Adversarial Examples"

5 / 5 papers shown
Title
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against
  Adversarial Machine Learning
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
AAML
14
2
0
31 Jul 2022
On The Utility of Conditional Generation Based Mutual Information for
  Characterizing Adversarial Subspaces
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces
Chia-Yi Hsu
Pei-Hsuan Lu
Pin-Yu Chen
Chia-Mu Yu
AAML
30
1
0
24 Sep 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the
  Robustness of 18 Deep Image Classification Models
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
D. Su
Huan Zhang
Hongge Chen
Jinfeng Yi
Pin-Yu Chen
Yupeng Gao
VLM
20
387
0
05 Aug 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
273
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
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