Independent Chinese AI agent developers focus on user safety risks while overlooking security vulnerabilities, using informal ad-hoc practices due to lack of formal training and tools.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Users show curiosity over concern toward LLM inferences of personal information, with acceptability depending on context, alignment with expectations, and who uses the inferences rather than just the content.
Interview study of 44 novice researchers finds privacy fears paradoxically accelerate LLM use for faster publication, with misconceptions about idea value and data dilution, and perceived ineffective mitigations.
This qualitative study develops a taxonomy of four GenAI-enabled threat vectors for refund fraud in Chinese e-commerce from stakeholder interviews and discusses mitigation challenges and design implications.
citing papers explorer
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Focused on the User, Overlooking the Risks: Security and Privacy Understandings, Practices and Challenges of Independent Chinese AI Agent Developers
Independent Chinese AI agent developers focus on user safety risks while overlooking security vulnerabilities, using informal ad-hoc practices due to lack of formal training and tools.
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When Are LLM Inferences Acceptable? User Reactions and Control Preferences for Inferred Personal Information
Users show curiosity over concern toward LLM inferences of personal information, with acceptability depending on context, alignment with expectations, and who uses the inferences rather than just the content.
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Investigating Novice Researchers' Perceptions of Research Privacy Within LLM-Assisted Workflows
Interview study of 44 novice researchers finds privacy fears paradoxically accelerate LLM use for faster publication, with misconceptions about idea value and data dilution, and perceived ineffective mitigations.
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Generative AI-Enabled Refund Fraud in Chinese E-Commerce: Investigation on Merchants and Platform Workers
This qualitative study develops a taxonomy of four GenAI-enabled threat vectors for refund fraud in Chinese e-commerce from stakeholder interviews and discusses mitigation challenges and design implications.