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Adversarial Attacks and Defenses for Social Network Text Processing
  Applications: Techniques, Challenges and Future Research Directions

Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions

26 October 2021
I. Alsmadi
Kashif Ahmad
Mahmoud Nazzal
Firoj Alam
Ala I. Al-Fuqaha
Abdallah Khreishah
A. Algosaibi
    AAML
ArXivPDFHTML

Papers citing "Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions"

10 / 10 papers shown
Title
Deep Learning Approaches for Detecting Adversarial Cyberbullying and
  Hate Speech in Social Networks
Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks
S. Azumah
Nelly Elsayed
Zag ElSayed
Murat Ozer
Amanda La Guardia
30
1
0
30 May 2024
Improving Adversarial Data Collection by Supporting Annotators: Lessons
  from GAHD, a German Hate Speech Dataset
Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset
Janis Goldzycher
Paul Röttger
Gerold Schneider
AAML
29
8
0
28 Mar 2024
GenAI Detection Tools, Adversarial Techniques and Implications for
  Inclusivity in Higher Education
GenAI Detection Tools, Adversarial Techniques and Implications for Inclusivity in Higher Education
Mike Perkins
Jasper Roe
Binh H. Vu
Darius Postma
Don Hickerson
James McGaughran
Huy Q. Khuat British University Vietnam
DeLMO
43
19
0
28 Mar 2024
Mutation-Based Adversarial Attacks on Neural Text Detectors
Mutation-Based Adversarial Attacks on Neural Text Detectors
G. Liang
Jesus Guerrero
I. Alsmadi
DeLMO
14
6
0
11 Feb 2023
A Survey on Adversarial Attacks for Malware Analysis
A Survey on Adversarial Attacks for Malware Analysis
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
24
49
0
16 Nov 2021
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy
  Claims, Previously Fact-Checked Claims, and Fake News
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov
Giovanni Da San Martino
Tamer Elsayed
Alberto Barrón-Cedeño
Rubén Míguez
...
Gautam Kishore Shahi
Julia Maria Struß
Thomas Mandl
Mucahid Kutlu
Yavuz Selim Kartal
71
92
0
23 Sep 2021
Adversarial Training for Aspect-Based Sentiment Analysis with BERT
Adversarial Training for Aspect-Based Sentiment Analysis with BERT
Akbar Karimi
L. Rossi
Andrea Prati
207
99
0
30 Jan 2020
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
185
711
0
17 Apr 2018
Learning Reporting Dynamics during Breaking News for Rumour Detection in
  Social Media
Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media
A. Zubiaga
Maria Liakata
Rob Procter
33
175
0
24 Oct 2016
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