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Found 4 papers, 1 papers with code
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis
In this work, we employ optimized and fine-tuned transformer-based Large Language Models (LLMs) to solve the problem of spam message detection.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+3
Inferring probabilistic Boolean networks from steady-state gene data samples
Probabilistic Boolean Networks have been proposed for estimating the behaviour of dynamical systems as they combine rule-based modelling with uncertainty principles.
A Health Focused Text Classification Tool (HFTCT)
Due to the high number of users on social media and the massive amounts of queries requested every second to share a new video, picture, or message, social platforms struggle to manage this humungous amount of data that is endlessly coming in.
A novel Two-Factor HoneyToken Authentication Mechanism
The majority of systems rely on user authentication on passwords, but passwords have so many weaknesses and widespread use that easily raise significant security concerns, regardless of their encrypted form.
Cryptography and Security
