4 papers
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios
Markus Bayer, Justin Lutz, Christian Reuter
Active learning is designed to minimize annotation efforts by prioritizing instances that most enhance learning. However, many active learning strategies struggle with a `cold-star…
Bandit on the Hunt: Dynamic Crawling for Cyber Threat Intelligence
Philipp Kuehn, Dilara Nadermahmoodi, Markus Bayer +1
Public information contains valuable Cyber Threat Intelligence (CTI) that is used to prevent future attacks. While standards exist for sharing this information, much appears in non…
A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English
Julian Bäumler, Louis Blöcher, Lars-Joel Frey +3
The dissemination of online hate speech can have serious negative consequences for individuals, online communities, and entire societies. This and the large volume of hateful onlin…
Reducing Information Overload: Because Even Security Experts Need to Blink
Philipp Kuehn, Markus Bayer, Tobias Frey +2
Computer Emergency Response Teams (CERTs) face increasing challenges processing the growing volume of security-related information. Daily manual analysis of threat reports, securit…