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Found 13 papers, 3 papers with code
Measuring Technological Convergence in Encryption Technologies with Proximity Indices: A Text Mining and Bibliometric Analysis using OpenAlex
Identifying technological convergence among emerging technologies in cybersecurity is crucial for advancing science and fostering innovation.
Prioritizing Investments in Cybersecurity: Empirical Evidence from an Event Study on the Determinants of Cyberattack Costs
We find that the magnitude of abnormal returns around cyber incidents is on par with previous studies using newswire or alternative data to identify cyber incidents.
Measuring the performance of investments in information security startups: An empirical analysis by cybersecurity sectors using Crunchbase data
We observe firms, their primary and secondary activities, funding rounds, and pre and post-money valuations.
LLMs Perform Poorly at Concept Extraction in Cyber-security Research Literature
The results suggest that LLMs do not produce good knowledge entities that reflect the cybersecurity context, but our results show some potential for noun extractors.
Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Generative Language Models gained significant attention in late 2022 / early 2023, notably with the introduction of models refined to act consistently with users' expectations of interactions with AI (conversational models).
Case-Based Reasoning with Language Models for Classification of Logical Fallacies
The ease and speed of spreading misinformation and propaganda on the Web motivate the need to develop trustworthy technology for detecting fallacies in natural language arguments.
Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments
Our three-stage framework natively consolidates prior datasets and methods from existing tasks, like propaganda detection, serving as an overarching evaluation testbed.
A Study of Slang Representation Methods
Considering the large amount of content created online by the minute, slang-aware automatic tools are critically needed to promote social good, and assist policymakers and moderators in restricting the spread of offensive language, abuse, and hate speech.
Multimodal and Explainable Internet Meme Classification
In the current context where online platforms have been effectively weaponized in a variety of geo-political events and social issues, Internet memes make fair content moderation at scale even more difficult.
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting
Our autoencoder approach improves the MAPE by 13. 5% on average over the second-best result.
Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing
However, this activity presents challenges due to the tension between data sharing and confidentiality, that result in information retention often leading to a free-rider problem.
From Scattered Sources to Comprehensive Technology Landscape: A Recommendation-based Retrieval Approach
This is a two-task setup involving (i) technology classification of entities extracted from company corpus, and (ii) technology and company retrieval based on classified technologies.
