Rithvik Neti
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2026
What Security and Privacy Transparency Users Need from Consumer-Facing Generative AI
The paper investigates how users perceive and utilize security and privacy transparency in consumer-facing generative AI, finding that users rely on proxies like popularity and require actionable, trustworthy information to maintain trust and continued use.
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cs.HCcs.AIcs.CRRecentApr 19, 2026
What Security and Privacy Transparency Users Need from Consumer-Facing Generative AI
Jiaxun Cao, Yu Dong, Chunxi Zhan, Rithvik Neti +2 more
The paper investigates how users perceive and utilize security and privacy transparency in consumer-facing generative AI, finding that users rely on proxies like popularity and require actionable, tru…
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