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Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice
30 May 2021
Rongzhou Bao
Jiayi Wang
Hai Zhao
AAML
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Papers citing
"Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice"
10 / 10 papers shown
Title
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
Yang Wang
Chenghua Lin
ELM
193
0
0
05 Jan 2025
Desiderata for the Context Use of Question Answering Systems
Sagi Shaier
Lawrence E Hunter
Katharina von der Wense
113
5
0
31 Jan 2024
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection
Songyang Gao
Shihan Dou
Qi Zhang
Xuanjing Huang
Jin Ma
Yingchun Shan
AAML
55
3
0
27 Jun 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
Ashim Gupta
Carter Blum
Temma Choji
Yingjie Fei
Shalin S Shah
Alakananda Vempala
Vivek Srikumar
AAML
62
9
0
25 May 2023
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
Heng Yang
Ke Li
AAML
94
3
0
06 May 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification
Lingfeng Shen
Ze Zhang
Haiyun Jiang
Ying-Cong Chen
AAML
111
5
0
03 Feb 2023
RoChBert: Towards Robust BERT Fine-tuning for Chinese
Zihan Zhang
Jinfeng Li
Ning Shi
Bo Yuan
Xiangyu Liu
Rong Zhang
Hui Xue
Donghong Sun
Chao Zhang
AAML
61
4
0
28 Oct 2022
Adversarial Self-Attention for Language Understanding
Hongqiu Wu
Ruixue Ding
Hai Zhao
Pengjun Xie
Fei Huang
Min Zhang
81
12
0
25 Jun 2022
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
I. Alsmadi
Kashif Ahmad
Mahmoud Nazzal
Firoj Alam
Ala I. Al-Fuqaha
Abdallah Khreishah
A. Algosaibi
AAML
57
16
0
26 Oct 2021
Improving Question Answering Performance Using Knowledge Distillation and Active Learning
Yasaman Boreshban
Seyed Morteza Mirbostani
Gholamreza Ghassem-Sani
Seyed Abolghasem Mirroshandel
Shahin Amiriparian
73
16
0
26 Sep 2021
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