Advances in artificial intelligence (AI) have shaped today's user services, enabling
enhanced personalization and better support. As such AI-based services inevitably require …

Large language models (LLMs) are complex artificial intelligence systems capable of
understanding, generating and translating human language. They learn language patterns …

Recently, with the rapid improvement of e-health technology, a large amount of precious
medical data has been accumulated in different entities, such as hospitals, clinics, and …

The growing use of large language model (LLM)-based conversational agents to manage
sensitive user data raises significant privacy concerns. While these agents excel at …

Advanced AI assistants combine frontier LLMs and tool access to autonomously perform
complex tasks on behalf of users. While the helpfulness of such assistants can increase …

Large-scale sensitive information leakage incidents are frequently reported in recent years.
Once sensitive information is leaked, it may lead to serious effects. In this context, sensitive …

User services increasingly base their actions on AI models, eg, to offer personalized and
proactive support. However, the underlying AI algorithms require a continuous stream of …

Identifying contextual integrity (CI) and governing knowledge commons (GKC) parameters in
privacy policy texts can facilitate normative privacy analysis. However, GKC-CI annotation …

In an evolving cybersecurity landscape marked by escalating data breaches and regulatory
demands, data leakage prevention (DLP) has emerged as one of several defense …

As the amount of data generated by organizations continues to multiply, there is a need to
ensure the security and transmission of these data at any stage that they may be at. Data …