Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions-Reference-Cited by-同舟云学术

Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions

Author:

Alsmadi Izzat¹^ORCID,Ahmad Kashif²^ORCID,Nazzal Mahmoud³^ORCID,Alam Firoj⁴^ORCID,Al-Fuqaha Ala⁵^ORCID,Khreishah Abdallah³^ORCID,Algosaibi Abdulelah⁶

Affiliation:

1. Department of Computing and Cyber Security, Texas A and M University, San Antonio, TX, USA

2. Department of Computer Science, Munster Technological University, Cork, Ireland

3. Department of Electrical and Computer Engineering, Newark College of Engineering, New Jersey Institute of Technology, Newark, NJ, USA

4. Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar

5. College of Science and Engineering (CSE), Information and Computing Technology (ICT) Division, Hamad Bin Khalifa University, Doha, Qatar

6. Department of Computer Science, College of Computer Science and Information Technology, King Faisal University, Al Hofuf, Saudi Arabia

Funder

Deputyship for Research and Innovation, Ministry of Education, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

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