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AirGapAgent: Protecting Privacy-Conscious Conversational Agents [PDF]

open access: yesarXiv
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 understanding and acting on context, this capability can be exploited by malicious actors. We introduce a novel threat model where adversarial third-party apps manipulate the context of
arxiv  

A Qualitative Analysis Framework for mHealth Privacy Practices [PDF]

open access: yesarXiv
Mobile Health (mHealth) applications have become a crucial part of health monitoring and management. However, the proliferation of these applications has also raised concerns over the privacy and security of Personally Identifiable Information and Protected Health Information.
arxiv  

Advancing Android Privacy Assessments with Automation [PDF]

open access: yesarXiv
Android apps collecting data from users must comply with legal frameworks to ensure data protection. This requirement has become even more important since the implementation of the General Data Protection Regulation (GDPR) by the European Union in 2018.
arxiv  

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