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Scratch that! An Evolution-based Adversarial Attack against Neural
  Networks

Scratch that! An Evolution-based Adversarial Attack against Neural Networks

5 December 2019
Malhar Jere
Loris Rossi
Briland Hitaj
Gabriela F. Cretu-Ciocarlie
Giacomo Boracchi
F. Koushanfar
    AAML
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Papers citing "Scratch that! An Evolution-based Adversarial Attack against Neural Networks"

5 / 5 papers shown
Title
Pixle: a fast and effective black-box attack based on rearranging pixels
Pixle: a fast and effective black-box attack based on rearranging pixels
Jary Pomponi
Simone Scardapane
A. Uncini
AAML
22
32
0
04 Feb 2022
Deep learning at the shallow end: Malware classification for non-domain
  experts
Deep learning at the shallow end: Malware classification for non-domain experts
Quan Le
Oisín Boydell
Brian Mac Namee
Mark Scanlon
78
173
0
22 Jul 2018
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
258
916
0
21 Apr 2018
On the Limitation of MagNet Defense against $L_1$-based Adversarial
  Examples
On the Limitation of MagNet Defense against L1L_1L1​-based Adversarial Examples
Pei-Hsuan Lu
Pin-Yu Chen
Kang-Cheng Chen
Chia-Mu Yu
AAML
57
19
0
14 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
368
5,849
0
08 Jul 2016
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