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Residue-Based Natural Language Adversarial Attack Detection

Residue-Based Natural Language Adversarial Attack Detection

17 April 2022
Vyas Raina
Mark J. F. Gales
    AAML
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Papers citing "Residue-Based Natural Language Adversarial Attack Detection"

5 / 5 papers shown
Title
Self-Supervised Representation Learning for Adversarial Attack Detection
Self-Supervised Representation Learning for Adversarial Attack Detection
Yi Li
Plamen Angelov
N. Suri
SSL
AAML
33
3
0
05 Jul 2024
Identifying Adversarially Attackable and Robust Samples
Identifying Adversarially Attackable and Robust Samples
Vyas Raina
Mark J. F. Gales
AAML
25
3
0
30 Jan 2023
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
196
711
0
17 Apr 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
264
3,110
0
04 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1