IEEE

Large Language Models Powered Malicious Traffic Detection: Architecture, Opportunities, and Case Study

Abstract: Malicious traffic detection is a pivotal technology for network security to identify abnormal network traffic and detect network attacks. Large Language Models (LLMs) are trained on a vast ...
The Toowoomba Chronicle

Man accused of child sex offences faces court delay over sensitive evidence

A man charged with serious child sex offences has had his court case delayed after evidence was deemed too sensitive to be displayed. Allan Craig Cunnington has been charged with one count of rape, ...
People

Alleged Ransom Note for Savannah Guthrie's Mother Sent to TV Station Included ‘Concerning’ and 'Very Sensitive Information,’ Says KOLD Anchor

KOLD news anchor Mary Coleman said that the ransom letter included a "dollar amount" and a "deadline" Julia Moore is a TV writer-reporter at PEOPLE. A graduate of Northwestern University, she has been ...
IEEE

Woodpecker: A Locally Deployed Large Language Model for Protecting Sensitive Information via RAG and Semantic Recognition

Abstract: In recent years, large language models (LLMs) have demonstrated remarkable performance in natural language processing tasks. Owing to their strong capabilities in language understanding and ...