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Breaking the silence: the rise of hate speech in Spanish politics
In this paper, we analyse the evolving role of hate speech in political rhetoric in Spain over the past three decades, focusing on its …
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From Comments to Threats: Leveraging NLP to Detect Malicious Browser Extensions
With the increasing popularity of browser extensions, there is a growing concern about malicious actors exploiting this software to …
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Analysing the impact of ChatGPT in research
Large Language Models (LLMs) are a type of machine learning that handles a wide range of Natural Language Processing (NLP) scenarios. …
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Closing the Gap: Automated Distractor Generation in Japanese Language Testing
Recent advances in natural language processing have increased interest in automatic question generation, particularly in education …
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Attribute-Based Encryption with Enforceable Obligations
Attribute-Based Encryption (ABE) is a cryptographic mechanism that provides fine-grained access control to encrypted data, which can …
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Are Chrome Extensions Compliant with the Spirit of Least Privilege?
Extensions are small applications that are installed by users and enrich the user experience of browsing on the Internet. Browsers …
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Gridchain: An Investigation of Privacy for the Future Local Distribution Grid
As part of building the smart grid, there is a massive deployment of so-called smart meters that aggregate information and communicate …
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Semantic Attribute-Based Encryption: A Framework for Combining ABE schemes with Semantic Technologies
Attribute-Based Encryption (ABE) is a cryptographic solution to protect resources in a fine-grained manner based on a set of public …
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Modelling cryptographic distinguishers using machine learning
Cryptanalysis is the development and study of attacks against cryptographic primitives and protocols. Many cryptographic properties …
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A collaborative access control framework for online social networks
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