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MALCOM: Generating Malicious Comments to Attack Neural Fake News
  Detection Models
v1v2 (latest)

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

1 September 2020
Thai Le
Suhang Wang
Dongwon Lee
ArXiv (abs)PDFHTML

Papers citing "MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models"

21 / 21 papers shown
Title
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
Sungwon Park
Sungwon Han
Xing Xie
Jae-Gil Lee
Meeyoung Cha
128
1
0
17 Jun 2024
Learning Multi-level Dependencies for Robust Word Recognition
Learning Multi-level Dependencies for Robust Word Recognition
Z. Wang
Hui Liu
Jiliang Tang
Songfan Yang
Gale Yan Huang
Zitao Liu
61
8
0
22 Nov 2019
Conditional Text Generation for Harmonious Human-Machine Interaction
Conditional Text Generation for Harmonious Human-Machine Interaction
Bin Guo
Hao Wang
Yasan Ding
Wei Wu
Shaoyang Hao
Yueqi Sun
Zhiwen Yu
83
4
0
08 Sep 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP
Universal Adversarial Triggers for Attacking and Analyzing NLP
Eric Wallace
Shi Feng
Nikhil Kandpal
Matt Gardner
Sameer Singh
AAMLSILM
116
877
0
20 Aug 2019
Defending Against Neural Fake News
Defending Against Neural Fake News
Rowan Zellers
Ari Holtzman
Hannah Rashkin
Yonatan Bisk
Ali Farhadi
Franziska Roesner
Yejin Choi
AAML
140
1,032
0
29 May 2019
Combating Adversarial Misspellings with Robust Word Recognition
Combating Adversarial Misspellings with Robust Word Recognition
Danish Pruthi
Bhuwan Dhingra
Zachary Chase Lipton
188
307
0
27 May 2019
Fake News Detection via NLP is Vulnerable to Adversarial Attacks
Fake News Detection via NLP is Vulnerable to Adversarial Attacks
Zhixuan Zhou
Huankang Guan
Meghana Moorthy Bhat
Justin Hsu
120
105
0
05 Jan 2019
TextBugger: Generating Adversarial Text Against Real-world Applications
TextBugger: Generating Adversarial Text Against Real-world Applications
Jinfeng Li
S. Ji
Tianyu Du
Bo Li
Ting Wang
SILMAAML
216
747
0
13 Dec 2018
The relativistic discriminator: a key element missing from standard GAN
The relativistic discriminator: a key element missing from standard GAN
Alexia Jolicoeur-Martineau
GAN
79
977
0
02 Jul 2018
All-in-one: Multi-task Learning for Rumour Verification
All-in-one: Multi-task Learning for Rumour Verification
E. Kochkina
Maria Liakata
A. Zubiaga
67
224
0
10 Jun 2018
Relational recurrent neural networks
Relational recurrent neural networks
Adam Santoro
Ryan Faulkner
David Raposo
Jack W. Rae
Mike Chrzanowski
T. Weber
Daan Wierstra
Oriol Vinyals
Razvan Pascanu
Timothy Lillicrap
GNN
144
211
0
05 Jun 2018
Universal Sentence Encoder
Universal Sentence Encoder
Daniel Cer
Yinfei Yang
Sheng-yi Kong
Nan Hua
Nicole Limtiaco
...
Steve Yuan
Chris Tar
Yun-hsuan Sung
B. Strope
R. Kurzweil
449
1,909
0
29 Mar 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
811
132,725
0
12 Jun 2017
CSI: A Hybrid Deep Model for Fake News Detection
CSI: A Hybrid Deep Model for Fake News Detection
Natali Ruchansky
Sungyong Seo
Yan Liu
78
929
0
20 Mar 2017
Toward Controlled Generation of Text
Toward Controlled Generation of Text
Zhiting Hu
Zichao Yang
Xiaodan Liang
Ruslan Salakhutdinov
Eric Xing
184
990
0
02 Mar 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
367
5,390
0
03 Nov 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex Lamb
Anirudh Goyal
Ying Zhang
Saizheng Zhang
Aaron Courville
Yoshua Bengio
GAN
124
597
0
27 Oct 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu
Weinan Zhang
Jun Wang
Yong Yu
GAN
72
2,409
0
18 Sep 2016
The Limitations of Deep Learning in Adversarial Settings
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
120
3,968
0
24 Nov 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,145
0
20 Dec 2014
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILawVLM
648
13,438
0
25 Aug 2014
1