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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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After you, please: browser extensions order attacks and countermeasures
Browser extensions are small applications executed in the browser context that provide additional capabilities and enrich the user …
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Are the Interpulse Intervals of an ECG signal a good source of entropy? An in-depth entropy analysis based on NIST 800-90B recommendation
In recent years many authors have explored the use of biological signals for security issues. In the context of cardiac signals, the …
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