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Evaluating Defensive Distillation For Defending Text Processing Neural
  Networks Against Adversarial Examples

Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples

21 August 2019
Marcus Soll
Tobias Hinz
S. Magg
S. Wermter
    AAML
ArXivPDFHTML

Papers citing "Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples"

3 / 3 papers shown
Title
A Tutorial on Adversarial Learning Attacks and Countermeasures
A Tutorial on Adversarial Learning Attacks and Countermeasures
Cato Pauling
Michael Gimson
Muhammed Qaid
Ahmad Kida
Basel Halak
AAML
25
11
0
21 Feb 2022
Variable Binding for Sparse Distributed Representations: Theory and
  Applications
Variable Binding for Sparse Distributed Representations: Theory and Applications
E. P. Frady
Denis Kleyko
Friedrich T. Sommer
18
55
0
14 Sep 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
267
13,368
0
25 Aug 2014
1