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2020 – today
- 2025
[j5]Emad Alsuwat, Hatim Alsuwat:
An improved multi-modal framework for fake news detection using NLP and Bi-LSTM. J. Supercomput. 81(1): 177 (2025)- 2023
- [j4]Emad Alsuwat:
Data poisoning attacks detection based on the convergence of the Peter and Clark algorithm and Bayesian adversarial federated learning. J. Electronic Imaging 32(1) (2023) - [j3]Emad Alsuwat:
SecK2 - A novel machine learning algorithm for detecting data poisoning attacks. J. Intell. Fuzzy Syst. 45(6): 10619-10633 (2023) - [j2]Majed Alsafyani
, Fahad Al-homayani, Hatim Alsuwat, Emad Alsuwat:
Face Image Encryption Based on Feature with Optimization Using Secure Crypto General Adversarial Neural Network and Optical Chaotic Map. Sensors 23(3): 1415 (2023) - 2020
- [j1]Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas:
Adversarial data poisoning attacks against the PC learning algorithm. Int. J. Gen. Syst. 49(1): 3-31 (2020)
2010 – 2019
- 2019
- [c4]Emad Alsuwat, Hatim Alsuwat, John R. Rose, Marco Valtorta, Csilla Farkas:
Detecting Adversarial Attacks in the Context of Bayesian Networks. DBSec 2019: 3-22 - [c3]Hatim Alsuwat, Emad Alsuwat, Marco Valtorta, John R. Rose, Csilla Farkas:
Modeling Concept Drift in the Context of Discrete Bayesian Networks. KDIR 2019: 214-224 - [c2]Hatim Alsuwat, Emad Alsuwat, Tieming Geng, Chin-Tser Huang, Csilla Farkas:
Data Dependencies Preserving Shuffle in Relational Database. ICDIS 2019: 180-187 - 2018
- [c1]Emad Alsuwat, Hatim Alsuwat, Marco Valtorta, Csilla Farkas:
Cyber Attacks Against the PC Learning Algorithm. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 159-176
Coauthor Index
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