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A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection
This paper calls for a comprehensive investigation into the complexities of deceptive language across linguistic boundaries and modalities within the realm of computer security and natural language processing and the possibility of using multilingual transformer models and labeled data in various languages to universally address the task of deception detection.
Homograph Attacks on Maghreb Sentiment Analyzers
We examine the impact of homograph attacks on the Sentiment Analysis (SA) task of different Arabic dialects from the Maghreb North-African countries.
Domain-Independent Deception: A New Taxonomy and Linguistic Analysis
Internet-based economies and societies are drowning in deceptive attacks.
Claim Verification using a Multi-GAN based Model
This article describes research on claim verification carried out using a multiple GAN-based model.
Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners
Advanced machine learning and natural language techniques enable attackers to launch sophisticated and targeted social engineering-based attacks.
