Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study

Author:

Fenza GiuseppeORCID,Loia Vincenzo,Stanzione ClaudioORCID,Di Gisi Maria

Funder

European Commission

Publisher

Elsevier BV

Reference225 articles.

1. Adversarial attack and defense technologies in natural language processing: A survey;Qiu;Neurocomputing,2022

2. Information disorder: Toward an interdisciplinary framework for research and policy making;Wardle,2017

3. Machine learning security against data poisoning: Are we there yet?;Cinà;Computer,2024

4. A survey of adversarial defenses and robustness in nlp;Goyal;ACM Comput. Surv.,2023

5. Adversarial nlp for social network applications: Attacks, defenses, and research directions;Alsmadi;IEEE Trans. Comput. Soc. Syst.,2022

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