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SCAT: Robust Self-supervised Contrastive Learning via Adversarial
  Training for Text Classification

SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification

4 July 2023
J. Wu
Dit-Yan Yeung
    SILM
ArXivPDFHTML

Papers citing "SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification"

28 / 28 papers shown
Title
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
Che Liu
Rui Wang
Jinghua Liu
Jian Sun
Fei Huang
Luo Si
81
40
0
26 Sep 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao
Xingcheng Yao
Danqi Chen
AILaw
SSL
261
3,396
0
18 Apr 2021
Achieving Model Robustness through Discrete Adversarial Training
Achieving Model Robustness through Discrete Adversarial Training
Maor Ivgi
Jonathan Berant
AAML
53
27
0
11 Apr 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification
Grey-box Adversarial Attack And Defence For Sentiment Classification
Ying Xu
Xu Zhong
Antonio Jimeno Yepes
Jey Han Lau
VLM
AAML
37
54
0
22 Mar 2021
Better Robustness by More Coverage: Adversarial Training with Mixup
  Augmentation for Robust Fine-tuning
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning
Chenglei Si
Zhengyan Zhang
Fanchao Qi
Zhiyuan Liu
Yasheng Wang
Qun Liu
Maosong Sun
AAML
SILM
64
69
0
31 Dec 2020
CLEAR: Contrastive Learning for Sentence Representation
CLEAR: Contrastive Learning for Sentence Representation
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Madian Khabsa
Fei Sun
Hao Ma
SSL
71
323
0
31 Dec 2020
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal
  Trigger's Adversarial Attacks
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger's Adversarial Attacks
Thai Le
Noseong Park
Dongwon Lee
149
24
0
20 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zhangyang Wang
96
233
0
26 Oct 2020
Unsupervised Data Augmentation with Naive Augmentation and without
  Unlabeled Data
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data
David Lowell
Brian Howard
Zachary Chase Lipton
Byron C. Wallace
122
23
0
22 Oct 2020
Adversarial Attack and Defense of Structured Prediction Models
Adversarial Attack and Defense of Structured Prediction Models
Wenjuan Han
Liwen Zhang
Yong Jiang
Kewei Tu
AAML
55
39
0
04 Oct 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
371
6,806
0
13 Jun 2020
TAVAT: Token-Aware Virtual Adversarial Training for Language
  Understanding
TAVAT: Token-Aware Virtual Adversarial Training for Language Understanding
Linyang Li
Xipeng Qiu
37
17
0
30 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
369
18,778
0
13 Feb 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
430
20,181
0
23 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
368
6,455
0
26 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
269
442
0
25 Sep 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks
  in Text Classification
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
Yichao Zhou
Jyun-Yu Jiang
Kai-Wei Chang
Wei Wang
AAML
41
118
0
06 Sep 2019
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
335
294
0
03 Sep 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on
  Text Classification and Entailment
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin
Zhijing Jin
Qiufeng Wang
Peter Szolovits
SILM
AAML
176
1,078
0
27 Jul 2019
Unlabeled Data Improves Adversarial Robustness
Unlabeled Data Improves Adversarial Robustness
Y. Carmon
Aditi Raghunathan
Ludwig Schmidt
Percy Liang
John C. Duchi
125
752
0
31 May 2019
Combating Adversarial Misspellings with Robust Word Recognition
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi
Bhuwan Dhingra
Zachary Chase Lipton
172
305
0
27 May 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
412
930
0
21 Apr 2018
Synthetic and Natural Noise Both Break Neural Machine Translation
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov
Yonatan Bisk
111
742
0
06 Nov 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
169
601
0
31 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
307
12,069
0
19 Jun 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
540
5,897
0
08 Jul 2016
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Nicolas Papernot
Patrick McDaniel
A. Swami
Richard E. Harang
AAML
GAN
SILM
51
456
0
28 Apr 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,066
0
20 Dec 2014
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