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Rethink the Evaluation for Attack Strength of Backdoor Attacks in
  Natural Language Processing

Rethink the Evaluation for Attack Strength of Backdoor Attacks in Natural Language Processing

9 January 2022
Lingfeng Shen
Haiyun Jiang
Lemao Liu
Shuming Shi
    ELM
ArXivPDFHTML

Papers citing "Rethink the Evaluation for Attack Strength of Backdoor Attacks in Natural Language Processing"

4 / 4 papers shown
Title
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text
  Style Transfer
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
Fanchao Qi
Yangyi Chen
Xurui Zhang
Mukai Li
Zhiyuan Liu
Maosong Sun
AAML
SILM
82
175
0
14 Oct 2021
Types of Out-of-Distribution Texts and How to Detect Them
Types of Out-of-Distribution Texts and How to Detect Them
Udit Arora
William Huang
He He
OODD
225
97
0
14 Sep 2021
Mitigating backdoor attacks in LSTM-based Text Classification Systems by
  Backdoor Keyword Identification
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification
Chuanshuai Chen
Jiazhu Dai
SILM
55
126
0
11 Jul 2020
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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