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Bad Characters: Imperceptible NLP Attacks

Bad Characters: Imperceptible NLP Attacks

18 June 2021
Nicholas Boucher
Ilia Shumailov
Ross J. Anderson
Nicolas Papernot
    AAML
    SILM
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Papers citing "Bad Characters: Imperceptible NLP Attacks"

18 / 68 papers shown
Title
Adversarial Attacks on Image Generation With Made-Up Words
Adversarial Attacks on Image Generation With Made-Up Words
Raphael Milliere
37
38
0
04 Aug 2022
Efficient Adversarial Training With Data Pruning
Efficient Adversarial Training With Data Pruning
Maximilian Kaufmann
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
Nicolas Papernot
AAML
30
7
0
01 Jul 2022
Architectural Backdoors in Neural Networks
Architectural Backdoors in Neural Networks
Mikel Bober-Irizar
Ilia Shumailov
Yiren Zhao
Robert D. Mullins
Nicolas Papernot
AAML
18
23
0
15 Jun 2022
Adversarial Text Normalization
Adversarial Text Normalization
Joanna Bitton
Maya Pavlova
Ivan Evtimov
AAML
22
2
0
08 Jun 2022
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep
  Object Detectors
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors
Avishag Shapira
Alon Zolfi
Luca Demetrio
Battista Biggio
A. Shabtai
AAML
29
30
0
26 May 2022
A Survey of Adversarial Defences and Robustness in NLP
A Survey of Adversarial Defences and Robustness in NLP
Shreyansh Goyal
Sumanth Doddapaneni
Mitesh M.Khapra
B. Ravindran
AAML
29
30
0
12 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information
  Security
Towards a Responsible AI Development Lifecycle: Lessons From Information Security
Erick Galinkin
SILM
11
6
0
06 Mar 2022
Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Huaming Chen
Muhammad Ali Babar
AAML
31
21
0
12 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Trojan Source: Invisible Vulnerabilities
Trojan Source: Invisible Vulnerabilities
Nicholas Boucher
Ross J. Anderson
8
15
0
30 Oct 2021
Who's Afraid of Thomas Bayes?
Who's Afraid of Thomas Bayes?
Erick Galinkin
AAML
25
0
0
30 Jul 2021
Token-Modification Adversarial Attacks for Natural Language Processing:
  A Survey
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
Tom Roth
Yansong Gao
A. Abuadbba
Surya Nepal
Wei Liu
AAML
23
12
0
01 Mar 2021
A Reinforced Generation of Adversarial Examples for Neural Machine
  Translation
A Reinforced Generation of Adversarial Examples for Neural Machine Translation
Wei Zou
Shujian Huang
Jun Xie
Xinyu Dai
Jiajun Chen
AAML
SILM
27
26
0
09 Nov 2019
ShamFinder: An Automated Framework for Detecting IDN Homographs
ShamFinder: An Automated Framework for Detecting IDN Homographs
Hiroaki Suzuki
Daiki Chiba
Yoshiro Yoneya
Tatsuya Mori
Shigeki Goto
19
33
0
17 Sep 2019
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
183
290
0
03 Sep 2019
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
245
914
0
21 Apr 2018
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
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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